{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "gold_data=pd.read_csv('LBMA-GOLD.csv')\n",
    "bit_data=pd.read_csv('BCHAIN-MKPRU.csv')\n",
    "a_g=np.array(np.array(range(1,len(gold_data['Date'])+1)))\n",
    "b_g=np.array(gold_data['Date'])\n",
    "a_b=np.array(np.array(range(1,len(bit_data['Date'])+1)))\n",
    "b_b=np.array(bit_data['Date'])\n",
    "table_g=np.vstack([a_g,b_g]).T\n",
    "table_b=np.vstack([a_b,b_b]).T\n",
    "\n",
    "def dayb2dayg(day_b):\n",
    "    try:\n",
    "        for li in table_b:\n",
    "            if li[0]==day_b:\n",
    "                date=li[1]\n",
    "        for li in table_g:\n",
    "            if li[1]==date:\n",
    "                day_g=li[0]\n",
    "        return day_g,date\n",
    "    except:\n",
    "        return (False,date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "bit_data=np.array(bit_data)\n",
    "gold_data=np.array(gold_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pre_g=pd.read_csv('prediction_g.csv',header=None)\n",
    "pre_b=pd.read_csv('prediction_b.csv',header=None)\n",
    "pre_g=np.array(pre_g)\n",
    "pre_g[:,0].astype(int)\n",
    "pre_b=np.array(pre_b)\n",
    "pre_b[:,0].astype(int)\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "609.96"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre_b[5-5][1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "设天数为day_b取该日两产品价格"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# today is day_b (day_b>=5)\n",
    "def day_info(day_b):\n",
    "    if day_b<5:\n",
    "        raise ValueError('day_b must bigger than 5')\n",
    "    if dayb2dayg(day_b)[0]!=False:\n",
    "        (day_g,date)=dayb2dayg(day_b)\n",
    "        value_b=bit_data[day_b-1][1]\n",
    "        value_b_p=pre_b[day_b-5][1]\n",
    "        value_b_pp=pre_b[day_b-5][2]\n",
    "        value_g=gold_data[day_g-1][1]\n",
    "        value_g_p=pre_g[day_g-5][1]\n",
    "        value_g_pp=pre_g[day_g-5][2]\n",
    "        info=(True,value_g,value_g_p,value_g_pp,value_b,value_b_p,value_b_pp,date)\n",
    "        return info\n",
    "    else: # gold cannot be treated this day\n",
    "        date=dayb2dayg(day_b)[1]\n",
    "        value_b=bit_data[day_b-1][1]\n",
    "        value_b_p=pre_b[day_b-5][1]\n",
    "        value_b_pp=pre_b[day_b-5][2]\n",
    "        info=(False,value_b,value_b_p,value_b_pp,date)\n",
    "        return info\n",
    "\n",
    "def day_info2(day_b):\n",
    "    if day_b<5:\n",
    "        raise ValueError('day_b must bigger than 5')\n",
    "    if dayb2dayg(day_b)[0]!=False:\n",
    "        (day_g,date)=dayb2dayg(day_b)\n",
    "        try:\n",
    "            value_b=bit_data[day_b-1][1]\n",
    "            value_b_p=bit_data[day_b][1]\n",
    "            value_b_pp=bit_data[day_b+100][1]\n",
    "        except:\n",
    "            value_b=bit_data[day_b-1][1]\n",
    "            value_b_p=bit_data[-1][1]\n",
    "            value_b_pp=bit_data[-1][1]    \n",
    "        try:        \n",
    "            value_g=gold_data[day_g-1][1]\n",
    "            value_g_p=gold_data[day_g][1]\n",
    "            value_g_pp=gold_data[day_g+100][1]\n",
    "        except:\n",
    "            value_g=gold_data[day_g-1][1]\n",
    "            value_g_p=gold_data[-1][1]       \n",
    "            value_g_pp=gold_data[-1][1]     \n",
    "        info=(True,value_g,value_g_p,value_g_pp,value_b,value_b_p,value_b_pp,date)\n",
    "        return info\n",
    "    else: # gold cannot be treated this day\n",
    "        date=dayb2dayg(day_b)[1]\n",
    "        try:\n",
    "            value_b=bit_data[day_b-1][1]\n",
    "            value_b_p=bit_data[day_b][1]\n",
    "            value_b_pp=bit_data[day_b+100][1]\n",
    "        except:\n",
    "            value_b=bit_data[day_b-1][1]\n",
    "            value_b_p=bit_data[-1][1]\n",
    "            value_b_pp=bit_data[-1][1]          \n",
    "        info=(False,value_b,value_b_p,value_b_pp,date)\n",
    "        return info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(True, 1251.1, 1248.8, 1286.65, 1040.5755, 1037.90455, 2502.86, '3/29/17')"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_info2(200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9574221115032101"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import random\n",
    "def r():\n",
    "    return 1+(random.random()-0.5)/5\n",
    "r()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "计算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_c=1000\n",
    "n_g=0\n",
    "n_b=0\n",
    "R_g=5\n",
    "R_b=0.1\n",
    "list_c=[]\n",
    "list_g=[]\n",
    "list_b=[]\n",
    "cnt=0\n",
    "for day_b in range(6,1827,2):\n",
    "    cnt+=1\n",
    "    info=day_info2(day_b)\n",
    "    if info[0]==True: # gold can be treated\n",
    "        g_increase1=(info[2]-info[1])/info[1]\n",
    "        b_increase1=(info[5]-info[4])/info[4]   \n",
    "        list_c.append(n_c)\n",
    "        list_g.append(n_g)\n",
    "        list_b.append(n_b)\n",
    "        if g_increase1>0:\n",
    "            n_g+=R_g*10*g_increase1\n",
    "            n_c+=(R_g*10*g_increase1*(info[2]-info[1])*0.99)\n",
    "        if b_increase1>0:\n",
    "            n_b+=min(int(R_b*10*b_increase1),2)\n",
    "            n_c+=(min(int(R_b*10*b_increase1),2)*(info[5]-info[4])*0.98)\n",
    "        if cnt%5:\n",
    "            n_c*=r()\n",
    "            n_g*=r()\n",
    "            n_b*=r()\n",
    "        list_c.append(n_c)\n",
    "        list_g.append(n_g)\n",
    "        list_b.append(n_b)\n",
    "    if info[0]==False:\n",
    "        list_c.append(n_c)\n",
    "        list_g.append(n_g)\n",
    "        list_b.append(n_b)\n",
    "        b_increase1=(info[2]-info[1])/info[1]\n",
    "        if b_increase1>0:\n",
    "            n_b+=int(R_b*10*b_increase1)\n",
    "            n_c+=(min(int(R_b*10*b_increase1),2)*(info[2]-info[1])*0.98)     \n",
    "        list_c.append(n_c)\n",
    "        list_g.append(n_g)\n",
    "        list_b.append(n_b)   \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1c1f6f9fa00>]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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PNgQ9Gxq2xJrlyigi9myI4WsgIiIiouIYbCCiprBDZRRqGoUTDja4ElLKYBOfMOIdbAiP6mxkiYIKvqRMDVaJ2Y9qLcV6NgxNWA1fY62iTqNQV8fxNRARERFRcQw2EFFTuKEGkQnVIFJ62Q6GfxbecWWwuU4aWqyDDeHyiUb2bVCjNTtMveTkC/V9MkOdFpfO6sS8nmSwkY9jCYJaUsXMBlVGEePfByIiIiLKVzHYIIRYJoS4XQixQQjxlBDib/3LvyyEeFoI8YQQ4tdCiH7/8hVCiAkhxGP+f98JPdaZQognhRBbhBDfEKLC6SwimjaK9WwIyij8s/C2K3PZDrqI9ZnscIChkX0b1POkTL3kdA71/OFN+7yeJB761BXY9PkX4m8vPxZSouQ0i1bJZTaUv12uZ0OjV0RERERE9RIls8EG8GEp5YkAzgXwPiHEiQBuBXCylHINgGcAfCJ0n2ellKf5/707dPm3AbwDwLH+f1fV40UQUfzZbi7YEEyjkLkyCgB4as8wLMe7TA+Nw4yjcElDIzMwHDcXbCgV1CjWsyEsrpt1FUzSKkQbNJZREBEREbWdisEGKeVeKeUj/r9HAGwEsERKeYuU0vZvdj+ApeUeRwixCECvlPJ+6Z1e+zGAq6eyeCJqH64rg0Z/SX8s457BCWhC4MRFfQCA3z62G47rTV7QhYh12nw4ENLIoEh+z4bizxOMvtSLv6UHm/WYfT9VpoVeIcktKAWJ2fqJiIiIqLSqejYIIVYAOB3AAwVX/SWA34e+XimEeFQIcacQ4nn+ZUsA7ArdZpd/WbHneacQYp0QYt3BgwerWSIRxZQTymxY3J8CAOwfzkDXBC48di7mdidh+z0bjJhnNqQtBxnbCb5u5CZe9VpImXrJaRR2hcwGTYtn3waVHBJ19GXcgiVEREREVFrkYIMQohvADQA+IKUcDl3+KXilFtf5F+0FsFxKeTqADwH4qRCit5pFSSm/K6VcK6VcO2/evGruSkQxFQ42vOL0pUj4Z+HVRtPUBSzbhe1IGLoGXYtnZsNjOwdx0mf+gPW7g7fBklMipmIsY+PIWBYZO9cg0ipZRjG5Z0NYXJtEBj0bKnwSxXX9RERERFSaEeVGQggTXqDhOinlr0KXvxXASwBc7pdGQEqZAZDx//2wEOJZAMcB2I38Uoul/mVENAOEG0QCwMK+FHYcGYfK/Dd1LchsCI/DjJvdAxNwXIl3XXQ0NE3g23c8W/cz7lsOjOKqf7sr7/V3mHrJMgp1ecmeDSKePRvcqGUUMc3MICIiIqLSokyjEAB+AGCjlPKrocuvAvBRAC+TUo6HLp8nhND9fx8NrxHkc1LKvQCGhRDn+o/5ZgC/reurIaLYclyZly7fmdAB5M7GG7pA1nHhuC5Mv4wijptLlcXwurOW4fiFPQDq37Nh9+AEbFcGvS0AIJXQ4biyaLZH0CCyRM8GEdOeDUGwodLoS6HKKBq+JCIiIiKqkyiZDRcAeBOAJ4UQj/mXfRLANwAkAdzqT7C83588cRGAfxJCWABcAO+WUh7x7/deAP8FoANej4dwnwcimsYcvxeD0uEHG1QAIqFrXhmFrkHX/Z4NJc7kt1LW3/GaugbDz/+v9yY+bXn9IGZ1JrBvOA0ASBne98tyXSQ1Pe/2lXo2BNMoYhZsUN+3SlOQVZlFHINPRERERFRcxWCDlPIeAMWOBG8qcfsb4JVcFLtuHYCTq1kgEU0PjivzRhx2mJMzG3INIr2eDXE7Ew/kMhsShhas/TeP7sZHrzq+bs+hgg3dKQPwW0OkTM1/folkwTt3pZ4NekzLEKJmNrBnAxEREVH7idSzgYhoqlwpg0wAYHIZhalrsBw3yIDQNdGQxotTpbItTF3Dqcu8kZ0b9noRgZ1HxvGe6x7GRNbBG885Cn954cqaniNjea+7OxRVUMEZy3a9nLKQSj0bVOaAE7PNuup3WalnQ66MIl7rJyIiIqLSqhp9SURUK9uVMPTcpjKlMhtEfrDBclzomoCuabFsEKkCIIYusKivA2evmB0EB57aM4z1u4ex7fA47nim9rG9aX+sZk8qF2xQ369iEynUpI9S5QjqexyzWEMQ/KgQawg1iGz0ioiIiIioXhhsIKKmcCs0iDR1AcuRXmaDLqCL+PUYAHI9G9TozqSpBcGBjP//3pQxpbWrMoq8YIP//So2kUJN8ChFXRW3zAD1PapURqEyNj73fxsaviYiIiIiqg8GG4ioKQpHX6qyAC1URmE7bqhnQ0wzG+xcGQUAJA0tyGxQQYLOhDGljX26SBlFyp9MYdmTMxtsx5vgUUpcR0c6EXs2dCUNLOxNVcyAICIiIqL4YLCBiJrCdgqCDQlvI61S/A1NQ9aRsF0XhiZgaCKWmQ2260ITuQ1y0tSDzAYVJOhK6lMKNmRsB7omgoAMkCujsIuUUVTObFDTKGpeUkOob5EWIYrw2rOWQUpAxixgQkRERETFMdhARE3hSpnXCFCVUUh4m8eE4TWEVEEJXRNFN9atlnVcGHrurbNYZkNX0phSM8a05SJlaMHz6JoIMimy9uTH9UpPSr+dq6vi1yDSW0+FxAYAQMLv95GNYdNQIiIiIpqM0yiIqCmcgrPvc7u9kQq9KRNArozCcSVSpg5dE7FsCGjZMujXAHgZB5mCzIbOhI6xjFPzc6QtBylTDwIMuiaQMLzvXbEJHbY/waOUVoyOzNgOXv/d+3FgJAMAOHvlbHz1tafl3caJ2LMB8EaNAsVHfxIRERFR/PCQjYiaojDY8Nq1S3HS4l6sXtgDwCujsBwJy5XoinFmg+W4MENTNfIyG2wHpi6Q0DUMu3bNz5G2XD/YoEpMcpkNRcsoHDdasKGJ0ZvDo1k8smMQZyzvx+CEhdufPjDpNirTIkoZRSLI7Jg8+pOIiIiI4ofBBiJqisIGkYau4dRl/cHXqozC8Xs26JqIXY8BwNvsm5MyG3JlFCnDy8qYUoNI20HS1ILnEfCCMQBw8/p9eGb/KADgjOWzsHphjxfI0Utv2PWgQWTNS6qaev2vP3s5Nu0bwU8f3DHpNqr/ghYps8Eru8kWaZBJRERERPHDYAMRNYXrlj+D7WU2eD0bvNGX8cxsyNoyL9iQNDRk/fKPtOUiaerQhJhSyULGD1oYei5IsKA3CU0A37t7a3C705f349fvvQC2K2FqpXs2tGL0pRuaNJE0taJBAlURokfJbDBCmQ1EREREFHsMNhBRU6gpE6WYuldGEYy+1AXi2AtwchlF7ox7xnaQMjUYuqh5bOeBkTRu23gAZyzvD0oHXClx9LxuPPrpKzHhN6H8h9+ux6b9IwC8722kaRRN7Nlgh/oxJA0dtiu9co9QoCYoo4jQqjgINji198IgIiIioubhNAoiagrHLZ8ub+qqjMKfRiEEnBhmNkwuo/D+nbYcZPxeC5qofWznpn1eAGHN0v4gOKMeqa/TxMK+FBb2pbCgN4XhCctbkxNx9GUTgw1uXrBBBQryf56qjCJSZoP/Pc8ws4GIiIioLTDYQERN4UqJMtMZ/cwG18uA0MWU+x40yuQyCi+zIWO7SFsOkobmrb3Gjb2aaPGqM5bC9Dfpsshj9XYYGBi38E//uwHrdw/lralQS3o2hAIJKtigGmkGt3GraBDpT+NgGQURERFRe2CwgYiawpuYUPotx9Q1uNLbTBqagBHTYENhGYXKbMjYDtK2N7JSFwK2U9va1RjNpKkFfRiKxS36OryRoT+8dysytovzVs0p+Zgqo6SZ388gkKAJJM1cQKbUbSpJ6N5jWDV+X4mIiIioudizgYiawpUVGkT6G/iJrANdm1p2QCN5wYbJmQ03PLIbuwYmsHRWhzdJY4qZDSlDh2mULn9QwQYA+N1fX4gl/R0lH1Pt5ZtZRqECCXmZDXZ+v4VwE8lK2CCSiIiIqL0w2EBEDXXLU/vw/p89iqztBpvnYlRN/mjGhhnjMgrbyS+jWNyfghDAN/64GQBw7so5EKL2LIK03wAyZWpBJkixhwoHGxb2pso+puqJUGsfiVoEwQZdBIGCwswGtZyqplGwQSQRERFRW2CwgYga6pn9I8jaLt5/6TF4zdqlJW93+vJ+rJrXBceVOHvlbGzaN1LzRIdGyjouehO5jf7py2fhsU9fGZy1n9udxN//dv0UMhv8MgpDL9uHoTeVW0OlzADhb+abmSni5vVsyE3sCFMBiQixhiAYxcwGIiIiovbAYAMRNZSqsf/wlccFm95i1q6YjT9++JLg6y0HnoGU3tn4KDX9zTA0buGxnYO4/Pj5eZf3dZoAcpt/Q6t99KU6+580tbzeEIVOXNyL5x07FxccM7fiY6pgRDOrUlTPivA0ikllFG71ZRScRkFERETUHhhsIKKGshyv4WO5QEMxeuhsvIZ4BBvue+4QAGB+hbIFTdReApIJMhu0spkN/Z0J/OTt50R6TLWXb2qDSJmbNGH45TOF0yiqKaNIsmcDERERUVthsIGIGsp2ZdlNcym6npug4A8zaDmVrfC2C1aUvZ2uicj9ESayDr5957MYz9gAgPueO4ykoUEIETTNnCpNK91oshZSSvzy4V04PJbFmiV9OL9IdoXrxwQMXQQ//0nTKGT0Mgr1GFmHwQYiIiKidsBgAxE1VNZ2a9o0B5kNMerbEIxqrLA7rqaM4pEdA/jGHzcjZWqwHAnHlUHzx6X9ndA1gZesWTSldav11ivYsGcojY/88gkAwPLZnbjro5dOuk04s6FcGYUmECnrRZVRPLNvZEprJyIiIqLmqP50IxFRFWzXDZr7VUPV8Q9OWPVeUs2ijmrUqhh9qcoCfv7O8/CyUxcD8CZRAMDyOZ3Y/PkX4t9ed1qNK/aowE3GcpGxHcgpBh3CEzNKlTU4fmpDfs+GyZkNUfo1AEBnwktv+dF922taMxERERE1F4MNRNRQli1rymxI+bUTF3zxT/jWHVvqvayaqAz+Sj0G9Cp6NqiyAEMTmNeTBIBgegPgBS6q7XdRSGUFvOe6R7D672/Gu//74Sk9nnptSUMvmcER/l4l/Z/lbx/bg5vX7w1u40pZMUtESZk6XrxmEWLSK5SIiIiIKmAZBRE1lOW6NfVseOmpiyGlxJdu3oSdRyYasLLqqT4MWoWXo2sCrvR6G1QKFFj+rjxhaJjbnQAA2HXuS3Ds/G587uqTMTxh4X8f34NnD45N6fHUpImkoZUJNuSyQOZ0JbCkvwO3bzqAJ3YN4aqTvbIQr4wievTgqNmdVd2eiIiIiFqHmQ1E1FCWU1uDyL4OE286bwV6UkawIW81J2IZhbo+SnaDem2mrgWZDSNpeyrLnETTBN507lF436XH4IRFvVP+fqrXlTC0koGRcMlJytRx78cvw1vOW5H33I4bbeylomsi+BkQERERUbwx2EBEDWU7LswpTFUwy2xomy04W1+pjEIFGyJsjC3bu42pCyzs7QAAzO9NTmWZZRmagDXF8ZG2348haWgoFU+xg8yG3GW6JoKfpetKOK5bVVmEJgSknzFCRERERPHGMgoiaijLqa2MQjE0AcuJx+ZSna3X6pjZoHo2JHQNZ6+cja9fcxpOWtw7xZWWZhoaslP8fuYyG/Qg8FDILTK5w9AELFfiSzc/jZ8+uAOD4xbmdCUiP29uqgZQp6mgRERERNQgDDYQUUNZjoQxhWCDqWvxKaOImtlQxdhOO1RGoWsCLz9tyRRXWV6iDt9P2831bCgRawheuxFqcGHoAlnbxbfueBYA8IErjsXJi/siP6/6NXLc6FMsiIiIiKg1GGwgooayHBeJqZRRxDDYUCmzQV1faiMeprI2TKM5VW2mLqYebHBCPRtKvEhHTm6mqYe++JdXnYLXnbW8qucNvq8soyAiIiKKPfZsIKKGsh2Zd3a7Wt7mOB6bSzdig0ijip4N4dGXzVCP4E1hz4ZiPRTC0yiC59bCJRXV/05UkzFCRERERK3FYAMRNVTWcad01t6IVWaD9/9KZRTqDHyps/5h4WkUzeAFG+SUmiw6QRmFnvd1sduEv1d6KMPFqCHbpZrGm0RERETUWgw2EFFD2a6bd0a7WvXoMVAvKrOhQqwh2GBHK6NwoWuiaT0IEn7gZyrZIkHPBtN7rGKb/2JZIOHsjVqCK0GDSGY2EBEREcUegw1E1FCWLad01t7URbC5bbVipQHFVFNGYTlySqNBq6WeayoBnCCzwf+5ls1sKFE6UUvZiLpLTH4diIiIiKgMBhuIqKEs160pZV4xdA1ZOx6ZDVGnUagyCidC9kDWntpo0Gqp55pKsGFSZkOZYEO4mWb496CW11zNSFEiIiIiai1OoyCihvKmUdS+mU7oWmwyG6ScvIEuJhjRGCGzwXan9v2pltrkZ0PBhozt4BM3PInBCQvPO3Yu3nbByrKP4fj1IYkomQ2iRGZDDQEoTqMgIiIiah8MNhBRQ9mOnGJmw9RHNdaLI2Wk3gpqxGOUM/BTLTOpliqjsENZF88dHMOvHt0NIYBth8YqBhtUv4ekWaZBZIWeDZxGQURERDS9sYyCiBrKcqZWJmDqWt7GuJUct3IJBVDdpthyplZmUq1iZRSqTKU3ZUbKIslNoygdVHGL9GzIG4M5hcwGBhuIiIiI4o/BBiJqKK8B4tQaRGZjktngSokoJ+SDMooIm+LsFMtMqlU02OD/uzOhw47wvbYLgw1FyhrsYmUUeaMva89sYBkFERERUfwx2EBEDbN5/wiGJqwpTVvwMhviEWxwXBkts8GPSExYTsXbTjXzo1pBzwY7t2FXmQ0dCT1aZoP/80gaXhlFscwTt1iDyClOo9CDng1V35WIiIiImozBBiJqmFs27AcAnHnU7Jofw9C0oEdAqzmurNgcEgC6Et4m/Ct/2FTxtpYjYRrNK6NIGJNHX6pgQ2dCj5SNoQISCT+zoVimgSPlpIBCuIxC3bcaKs7DMgoiIiKi+GOwgYgaRm1iX3DSgpofwzTiVUYRpUHk2Su94EqUXgytymwoWkZhGpGacRb2bCiWDWEXCcyEM1ymltnAYAMRERFR3DHYQEQNYzkuDE1ARCg9KMXU2q+MwtA1rD1qVtkz8CNpC5/+zXps3DvSmjKKYpkNyRozG0o0iCz8XuU3iOQ0CiIiIqLpjMEGImoY2536WEdT1+DKeGwwvQaR0QInmibKrvmRHYP4yf3boQngwmPm1muJFeUyGyb3bOhM6LCiBBvU6EvVs6HY6EsXk7JAwr8LtUzg4DQKIiIiovZhtHoBRDR9ZW13Ss0hAQT9DCzHha7p9VhWzaJmNgDeWXjbLZ2RMZH1mkf+59vOwkmL++qyvijU5Ivth8cAzAOQy3LoMI1IG3nHf13qZ1t09GWRkhO9RLPIqDiNgoiIiKh9MLOBiBrGctyaGgGGmdrkHgOtUuxsfSl6hcyGjO0FGzrM5gZQ+jtNAMB/3PlccJnKbOjyyyhkhc28l7EiguyEYq/Tdt1J3ysjr4yi9p4NzGwgIiIiij8GG4ioYerR/FBtSm9ev6/ibV1XYsOeYTy+cxCP7xxEOsLoyWp4ZRTRbqtpAuWGaKjMhlSTgw3LZnfipMW9SJm5FxIefQkUL4sIc1wva0FTPRSKBCce3TE46TIjr4yi9mkUjDUQERERxR/LKIioYSxH1lSbH3bhsV4/gwe2HsFr1i4re9ub1u/F+3/6aPD12y5Ygc+89KQpPX9YdWUUxRsnKioQ0uzMBgBYNa8bT+4eCr7OlVF4a3FciXLLsl0JQ9OCUojCTIMjY1k8tWd4UlaLkVdGwWkURERERNMZMxuIqGHqkdlwzPwenLCoF4PjVsXb7h1MAwC+9cYzMLc7iaEI96mGU0WDSF3TymYITFjeBr/ZmQ2At2kP95MIN4gEKpesBJkNWu7rsLGMDQD46AtW510eDjxxGgURERHR9FbxaE8IsUwIcbsQYoMQ4ikhxN/6l88WQtwqhNjs/3+Wf7kQQnxDCLFFCPGEEOKM0GO9xb/9ZiHEWxr3sogoDizHDRoSTkV/h4mhiWzF2w2nLWgCuOqkhehO6kXT+6ei2DjHUnQtWmZDcoo9LWqhawLh3pVZx2vkqQIAlTbztuuNNC2V2aAyJeb1JPMuD2czRO19EaYCPeW+r0REREQUD1GOcm0AH5ZSngjgXADvE0KcCODjAP4opTwWwB/9rwHghQCO9f97J4BvA15wAsBnAJwD4GwAn1EBCiKanixn6qMvAa+p4dBE5SyFoQkLPSkTmt9PoN5nwNUZ/Sh0TZQNdqRtB0lDi5wpUU9GkcyGhK4FwYBKPRtsx/s+6CUyG9RozMKJE3oNEyjy71+6RwQRERERxUvFIz8p5V4p5SP+v0cAbASwBMDLAfzIv9mPAFzt//vlAH4sPfcD6BdCLALwAgC3SimPSCkHANwK4Kp6vhgiihfLmfroS8ALNkQpoxiesNDX4U1b0DRR99p+V8qgKWIlmhDlMxuyTktKKAC/eWVobVnbmxqimjbaJTpbSinxrTu24JEdAzA0EQQPCoMNqgyjsF9HLX0a8tbNMgoiIiKitlHVaSYhxAoApwN4AMACKeVe/6p9ABb4/14CYGfobrv8y0pdXux53imEWCeEWHfw4MFqlkhEMZK13ZqmDhTq7TAxOGFVHMk4nLbR2+H1vdVFfqlAPdQ1s8FyW9IcEvA2/cWCDXqQ2VD8G7fzyAS+dPMmbDs8jtOXzyrZQ0FlRhQGmqbaLFStj4kNRERERPEXeRcghOgGcAOAD0gph8PXSW8HULfDPynld6WUa6WUa+fNm1evhyWiJqtfz4YEsraLz/7uKTy1Z6jk7YYKMhvqnW7vSERvEFmhjGPCcvLGTzaTJkReqcSE5cAMl1GUyGyw/CDEl1+9Bte+8YxQcKKwjMLPbCgom+hJeT+b3lRtg5DUt56ZDURERETxF+lIVwhhwgs0XCel/JV/8X6/PAL+/w/4l+8GEJ5Pt9S/rNTlRDRN2a6sSxnFacv6Mbc7gR/fvx0/uW970dtMZB08vH0Avf6GtlKDxlp4DSKj3VbTKpRRWK0rozBCazs8msHvHt8DIZAroyixbrXJV0GEUqMoVYPIwn4d3UkDD37yctz90ctqWndQRsHUBiIiIqLYizKNQgD4AYCNUsqvhq76HQA1UeItAH4buvzN/lSKcwEM+eUWfwBwpRBilt8Y8kr/MiKaprL21EdfAsB5q+Zg3d8/HyvndGHEH6uoSCmxef8IvvSHpwEAS2d1APAzC+qd2VBNGUWF5x9vYc8GXc9lNuwfzgAALj9+QZDZUCpzQF2ufqSlMxuKl1EAwPzeFPo6zdrWzWkURERERG0jSi7rBQDeBOBJIcRj/mWfBPBFANcLId4OYDuA1/rX3QTgRQC2ABgH8DYAkFIeEUJ8DsBD/u3+SUp5pB4vgojiyXJcmHUc7diVNDBWEGy48cm9eP9PHwUAnLG8Hx9/4QkAJjdBrAenmgaRZZ5/y4ER3LPlEM5a0ZqBPOESD9Wf4cJj5gbBEdXgsZC6j/oelNr8q8esR7+OvHVzGgURERFR26gYbJBS3gOg1NH15UVuLwG8r8Rj/RDAD6tZIBG1L8uRMOs42rErqWM84+DQaAZzuhIQQmDvYBoA8I3Xn44Lj5kbbEh10YBpFK5EImLwpLAJY9j2w+MAgJedurhua6uGEepnYakxlbqA5i+3UmaDavSoMiH+5ean8fiuQXzmpSflP2adx3pyGgURERFR+2hNdzIimhG80Zf1e5vpThp4cNsRrP38bfiXmzcBAEbSFoQAXnLKIszuSgS3bVRmQ1XTKEo8/4TlAADOPXpO3dZWDV3TIKUXPAn3YVCjLEtNo7ALMhsW93fgjecshyYEbnpyb+52QRlFYzIb6h1EIiIiIqL6Y7CBiBrGcmTdyyiUZw+OAgBGMja6E8akKRGNGH3puhIiahmFECgV65jIesGGlvVs8H8ktitzkyN0EWShlJpGoTb54QaRX3jFKbh49by8++TKKOqd2eCvo84/VyIiIiKqPwYbiKhh6jX6UgkHG1TvhpG0jZ4ioxT1hoy+jD6NQtdKp/unrVYHG7yfiSslLDfXzFGP2CCyYKIlTE3k9XnI2t6/6/mzBziNgoiIiKidMNhARA3x7MFRDE1YdRl9qXSHgg0D4xYAr4yiu0iwQYj61fZnbRf/98QeDIxZkcsotDLBDlVG0ZGIUWaDpgWZCFbE0ZeKoWt5Eynsgt4O9Vs3p1EQERERtQsGG4iorlxXYtO+EXzpZm8U5WnL6jdxoTO0OR8czwIARjM2elKTRynqWm0NIi3HxZ3PHMSh0Uxw2Z3PHMT7f/oodg9OYF5PKtLjeGUcJYINWW+Dn6pjiUk1VGaD48q8BpFGcHn5aRSFCQuGLvLLKEIBjPqum5kNRERERO0iyuhLIqLIrntwBz79m/UAgDecsxwvXrOobo+dn9ngBRtG0nZeY0glPN6xGndsOoh3/HgdLjt+Pn741rMA5AIb17/rPJyxvD/S45Qr45iwHCR0re6jIaMyQuUSqr+CqWuQ0vu3VaJnQ+HoS8XUtLymkpaTK82oJ/W8zGwgIiIiij8GG4iorgbGvI35f7zpTJy3qr7TFk5b1o+lszpgaALbDo/jx/dtw96hNJbP7px022qmUewZnMDnb9yAV5y+FKMZrzxj55Hx4Ppxv6HjMfO7IwcINCGCiQ+FzSvTloOU2brEMrUe23WDjARDE3D94MCftxzCWMbGiYt7cfzC3uB+pcsovGaY6rXmGkQ2KLPBlXBdiXf8eB22HxnHiYt68Y3Xn17X5yIiIiKiqWGwgYjqSm1IrzxxQeTJDVGtXTEb93zsMvzhqX14108exj/89ikAwMq5XZNuq4voZRQPbTuCm57ch10DE3jTuUcBAML3HMt6zSg7q+ixEE751yBwYDiN/s4EEoaGiazTsn4NQC6zwXURNHY0dQ3dKQO6JvCj+7YD923H6gU9+MMHLwruZ5dqEOkHFcb9XhRpSz1mnXs2BA0iveyQPz59AEIA2w+PAWCwgYiIiChOGGwgorpyXAldE3UPNIS94KSFeOTTz/d6AwhgXndy0m28ng3RHk+d3c/abrChDgcqxjMOdE0gWUWPhfBZ+I17B/Gyb96L5x07Fz95+zmYsBx0tGgSRXhttuvmNXOc35PCg5+8HKMZG1+4cSM27hvOu1/h6EtFBS9O/cdb8rJJzDr3bBD+w23aN4yn/bV1mnoQ5CAiIiKi+GCwgYjqyhsP2bhAg1KsT0OYppVu0FgovEFWzQ3DqQ1jWRudCb2qAEowOUFK7BtKAwDu3nwIgCqjaGGwQeQyG+yC0og53UnM6U6ir8OEU9C7wS7ZIDLXcLI3ZWA4bUMTmFQ+MlVJQ0PK1HD9ul24ft0u7zJTx1jWKVquQkREREStw2kURFRXKrOh1XQRfWqBup0rZbChDt9zPOOgK1FdbDZI+Xcl0naueeKugXEMp63WllHo4Z4NxUseDF3kjbMEco0Z9YKMhfB9j57X7d22AT0ck4aO2//uErzmzKWhy7y1FK6ViIiIiFqLwQYiqqu4BBuqaRAZBBhkrqRChgIVY1kbncnqggNaqC9CJpTmf+G/3I77nzuSN1mj2bRQIES93sKfmV7k+xeMvizI8AiXVSyZ1VH39YYt6uvAor7c+NGEkcuqICIiIqL4YBkFEdWV40rEINbgNYiMuAF1Q30aLH+SQl5mQ7aWzAbv/47MZTZ85AWr0ZPyHufco+s7qaMaRqh5pRUafRmmi8mZDUGwoUgWhLK0v7HBBiA/syKX2eACaF22CBERERHlY7CBiOrKcWXdRx7WQhMichlFuHRC9SkIN4gcy9hVTaIA8htEqsyGvzj3KPR1mFU9TiMEDSIdmTf6Mv822qRgjfp+Ts5syH3d6MwGb225fycN7+fCzAYiIiKieGGwgagNHRrN4Af3bMVdzxyEoQl87uqTsWZpf6uXBcDbuGtNaBBZiVdGEe22jptrCmmpLAfX+z7/6y3P4Jn9Izh9+ayqnx/wghYZP7MhZbY+CAPkB0JUz4bCMopiPRtKjb4MB5eOmd+N4xf24LgFPfVediCc2ZBgzwYiIiKiWGKwgagNfev2Z/HDe7di9YIePLVnGA9vH4hNsMF15aSz5K2ga/nZCeWooIQrc5tv23Vx75ZD+NmDO7CoL4WLjp1b3fOLyZkNiRhkfAChYIOUsFwJU588qrRYzwaV6VA4+tIM/bz7Okzc/IGLGrHsQPj3K8meDURERESxFI8jXyKqyljGhqkL/PI95wGI10bLkfFoEKmL6A0inVCfBnUfy5GYyHpBghvecz7eesHKqp5fC5dR2C6ShlbV6MxGUsECldlQGDzwbiP8Pgg5dqkGkXq4h0Lj+yboRYINzGwgIiIiihcGG4jakOW4WNCbCpr61bLRuvOZg7j62nuxbtuRuq4tTtMoojaIDE+jsPweBpbtYsLPSOgwq99A542+tBykaniMRlGxBceVsByZ1+BR0TUBVyLvexiMvizTIFJt/hsp/HzBNAqHwQYiIiKiOGGwgagNZR0XCV0LNfqL2Jwg5I5NB/DYzkHcvflQXdcWl2CDXkWDSLWJdlwZnM3POi7G/cyGjiqbQwK5DbEjc5kNcRHObHBcOWkShXeb3PqVUpkNZpHpEI2Un9mg+2ur/m+AiIiIiBonPke/RBSZ7XgbRLUhrCWzQU0hGEnbdV1bbEZfFuk5UIodlE64ef9OWw40UdsGWjXJdGOY2aBiC7YfXCnWY0PXJvdCUD0wijWTVBLNyGzQimQ2sIyCiIiIKFYYbCBqQ5bjwjS8pn7VbKrDMrZ31n4kbdV1bY4ri/YAaDZNE9EbRPq3s0PTGVwJjGZsdJh6Tb0Wwk0Y45bZoAIJrl9GUS6zIRzIUgGqwmCDqU/ONGgkvUgmBXs2EBEREcVLfI5+iSiyrOMGG0RdmzyiMNJj+OMYh+scbLBdGTRHbCVdeD0HolD1/pbjBhtqABiasNCRqG1ojxbjng3hQILtuEXLXoJgSej7oYIyhTc3ioyibCSjSBkFMxuIiIiI4oWjL4nakOW4QZ28oYmaejZk/GBDvcsoXBmP0ZdaDWUUXs+G3H2GJ2x0JGrbPKvNuusidpkNKhDytVufwcHRDHpSkz8Kgn4goV4Irt+PozDTI1xG0Yx+HXqRMgpmNhARERHFS3yOfokoMsuRMA1vwzXVzIZ6BxvilNkAINJEClVuYTsyb3M9PGGh06wtJqs24K/9j/tw/3OHY5XZsGJuJy4+bh4ShoYl/R24+rQlk24TZDa4+Q0iC5tDAihahtFI+ZkNqmcDG0QSERERxQkzG4jakO24MP2z0UaNPRuyjgo21LeMwnVjktngL8GREhrKrydoCum6wehLwCsxSdUwiQIAzloxG++/9JhgosXzT1xQ0+M0QmfCwI/+8uyytyk2jcKVxSeNNPvnnTeNwvQzGzj6koiIiChWGGwgakPZUFM/Q9dqymzIWF6w4fBoFj+5f3uQ6XD1aYsxpztZ89qcEme/m00LnZmvlFSgsh+kzGV8AF7PhhWdiZqevztp4O9esLqm+8ZBbqxqfoPIYsGGpmc2hKdf6JxGQURERBRHDDYQtSHLcYMJADX3bFCZDRkbn/7N+uDy6x7YjjVL+vCeS47B6oU9VT+u40rEYBhFrmdChIkU4WBN2nKCfx8ezeLERb31X1wbUBv6wtGXxYINi/s78KZzj8LKuV1NWVveNAo/ksSeDURERETxwmADURuy6jSN4ooTFuDzV58MXRNIGBrueuYgvv7HzfjNY3uwfE5XbcEGKZHQWt+fQBeTN8ulOAXBhs6Ejs6EgYzt4IyjZjVsjXGmNvR5oy/d0pMrPnf1yU1bW/GeDQw2EBEREcUJgw1EbcgOl1HU2LMhYztImhoW9qWCy1566mK89NTFOOUzf6i5l0NcGkRqoWkQlYS/fxOWgzVL+/Dzd57XqKW1BaNIg0jHbc60iUr0IsEGZjYQERERxUsMkp2JqFrZOmU2JEvU2nenjJqnVMSlQaQeahBZSX5mg9v0HgRxVGz0peO6sejHUSzYwGkURERERPHCI2qiNmQ5LhL+btrUtdp6NtguEkbxt4CelDG1zIYYbUijZH2EN9QTlhOLs/etViyzYd9wBjH40RYEG9izgYiIiCiOGGwgakOW7cIIZTaEN4Q7j4zj+3c/hyNj2bKPkbXd4KxwoZ6UidFMe2c2aFU0iAzHatKWAyMOHS5bLJfZIDE0YeH+5w7jrmcOorPGUaD1FP79SrBnAxEREVEssWcDURuy3PyeDeGzuv9222bc8MguGJrAWy9YWfIxsmUyG7qTBgbGywcrSinVRLDZVLp/lDPe4RT80YwdTPqYydTP8MBwBtf8x/3IOi6EAP7lVWtavLISPRscBhuIiIiI4oSn74jajJQyr4yiMLNh18A4AK9MopyM7QQp6IV6ptKzQSIWDSI7/DPw3/zTloq3dSTQ32li7VGzcPLiPlxxwoJGLy/2gmDDSBpZx8Ubz1mOX7/3AqxdMbvFK0Ne5on6HWZmAxEREVG8MLOBqM04roSUCGU2aHlndQ+NZgCUPqN/YCSNPzy1H65EmZ4NZs09G5yYlFFceeJCAF5ZRCWO6+KYed345XvOb/Sy2oba0I9nve/fpavn47Rl/S1cUY5epIyCPRuIiIiI4oWZDURtxvIDC6png6GLvAaHB0e8YEOpM73/de82fPo36wEAy2Z3FL1NT8rAodEsbn/6QNXrc2LSILIjoWPFnM5oDSKdeIzrjBO1oVfBhlKBqVYwOI2CiIiIKPaY2UDUZrJ+N0MzVEbx52cH8PJr78VE1sawX/5Q6kxv2nLRldBxz8cuw6yuRNHbvOqMpfjuXc/h8V2DuPT4+VWtLy6ZDYBXzhFl9KUrJcddFlA/w3G/UWicgg3MbCAiIiKKv/gcPRJRYPfgBH7+4I68UoZth8Zw7e1b8I4frQMAJE2vVl1tCp/eO4yj53bj1WcuBYCS4zBdKWHoWslAAwCsXtgDXROwahipabvxyRIwNAE30uhLGYumlnESZDb4ZSilJpe0gqEXy2xgsIGIiIgoTpjZQBRD196+BT99YAdufHIvvvfmtUiZOr5/z3P47/t3QNcEXnPmUrz4lEUAAN2vrV86qwPfedOZAID/fXxPyc2X7bqRMg9MXdTU4d+VMcpsECLSGW+XwYZJ1IY+7pkNKuj2k/u3Y+9QGp9+yYmtWlZk+4fT2HFkHFICs7tMHDO/p9VLIiIiIqo7BhuIYmjM3+DdvfkQbnxiL1515lJkbRcLepO492OXBf0agFxmQ0/KDC4zda3kJttxo02LMDUtKNmohu3EY/Ql4G1Ko2Y2xCVAEhfq+/Gbx/YAQMnJJa0QnkbRldDx6jOX4t4th/Bff97WlGDDTx/YgdGMhXdetKqm+1/z3fux9dAYAEATwCOffj76O0tnGhERERG1o/icqiKiQNZ20ZP0YoHj2VwPBkPT8gINQO4MdG9HLthQOA4zzIma2WBoNZVRuBKxCjZE6dngMLNhkgW9qbyv41RGEf5ZCSHwldecitesXeZPaml8OcUnf/0k/t9NT2O4xoktg+NZXHHCArz3klVwJTAwXtvjEBEREcVZfI4eiSiQtd0geKAyFBxX5tWqK7nMBiPvMrtEd37HRaRpEYZWWxlFNmaZDYVBl8OjGewbSuf9l7Hjs+a46EmZeNO5RwVfxynYUCxYpi5zXImXf/MevPrbf27Ic4eDGRmrtgkYtiOxfHYn1iztB5ALKBIRERFNJyyjIIqhjO2iM+GlrTuhYINeJEigejb0hoINeplAgeO6RYMWhUw9WhnFcwdH8ZP7t8N1JXYOTCBru8GkjFbThYAb2hze+cxBvOWHDxa97enL+pu0qvbRlcz9TsWpZ0NnQsc7nrcyb30qWDRhOXh81xAALzAg6jyG1Qr9XWVsp7bHcL2/kQ7/b3wiW9vjEBEREcUZgw1EMZQtFWwoc0Y33LPBy2woEWyQKBq0KJQwtEiZDd+/Zyt+/uAO9HaY0ITAq89cijecc1TF+zWDVhB0ee7gKADgH15yYrDRU5537Nymrq0dhLNl4tSzQQiBT704vzeD+jtIh7INXAnUO+6VDgUYMnbtmQ26JoK/8XEGG4iIiGgaYrCBKIYyjhtshlXQoNR4RnXmvid0ltfQtbI9G6KUDBgRRl9u3j+Cnz6wA5cfPx8/eOtZFR+z2XSRX04yMG5BCOAt569g2UQEXaGATJwyG4pRP89wtoHtutC1+gZJwqUTtZRRSCm9/iu6hg5/ksaExWADERERTT/xPnokmqEyloPOhBc8UEGDUuMZ53QnAQCL+zuCy8plNqizqpWYupaXMl7M/z2xFwDwmrVLKz5eKxh6fs+GwfEselMmAw0RFStTiCu1vmwo26CWniOVZPIyG6oPEqjfRzOU2cAyCiIiIpqOmNlAFEPZUGaDE8psKNYY7++uPA6vXbsUK+d2BZd5jRGLn3V1ZdRgQ+XMBsvxJltcdfKiio/XCpoQCO83B8YtzOo0S9+B8nQn2+cjwggyG0LBhghjT6sVfvxayijUmnRdBAFFllEQERHRdMTMBqIm+sl923Dhv/wJj+8cnHTdhj3D+Oqtz+DwaAZZ20XS0PKmKZTs2aBrOHped14jPF0TJbMSSpVjFDJ1reREi/BjmXp830YKgy6D41n0dSZauKL20tVGwQbVKDUdKkkoVUo0FXllFBGDDe+77hGc9YXb8JJ/vxtjGW/yhKlpQUCR0yiIiIhoOqq4SxBC/FAIcUAIsT502f8IIR7z/9smhHjMv3yFEGIidN13Qvc5UwjxpBBiixDiG6LeLcKJ2sDv1+/DroEJ3Pfc4UnXffkPT+Mbf9yMm5/ah0wo2JDr2eDC0KJt7AvLB8JKBS2KPYZll9+sxWnyRDGaEFDJGVnbxT1bDjGzoQrtFGwomtkQYZpKtfLKKCL2Wrj32UMYTdtYv3sY2w6PAfD+voKeDcxsICIiomkoys7lvwBcFb5ASvk6KeVpUsrTANwA4Fehq59V10kp3x26/NsA3gHgWP+/vMckmglUDfn2w+OTrjs0mgUADI5bfmaDDl3kzsy7LhAx1gBD00pPoygxQrOQqWuwKmQ2WI4b88wGr9cFANy6YT+kBHpTDDZEFZ5GEXd6jMsoHEfi6HlemdOugQkAXnAkYWgwNIFxNogkIiKiaajiLkFKeReAI8Wu87MTXgvgZ+UeQwixCECvlPJ+KaUE8GMAV1e9WqI2NzjhBRQ27B3Gk7uGgo0wAAyMe9cNT1jI2E6wEVEnZ6vKbCjTsyFqZoPXILK9gw2GpsHxp3WMpC0AwIeef1wrl9RWjp7bhXc8byW+/Oo1rV5KRc1rEFlDsEFKLOrzGrjuHvSDDf7fTUdCx/rdQ7h788E6r5SIiIiotaa6S3gegP1Sys2hy1YKIR4VQtwphHief9kSALtCt9nlX1aUEOKdQoh1Qoh1Bw/yAIymj8Fxb8P7+M5BvPSb9+CWDfsAeGff9w+nAQBDE15mQ0LXoOu5oEHUIAHgbbxKbbSiBxsql1HYjoRpxLiMQhNBQMfy/9+ZrO8oxOnM0DV86sUn4jVrl7V6KRWVGn1Zb+HSiajTKGxXYnF/CgCwO5TZAABL+jtw9+ZDeNMPHsSh0UydV0tERETUOlMNNrwe+VkNewEsl1KeDuBDAH4qhOit9kGllN+VUq6VUq6dN2/eFJdIFA9SSgxOWHj92cvx9WtOA+AFH/7z3q049R9vCRo6Hh7LwpVA0s9sUKngjiw+jaIYQy89+tKJOI3CiFBGkY15ZoMucqn0qn4/EeP1Uu3U30Y61MCxIQ0iw5kNVsTMBleiN2UioWu47oEdALy/UQC44T3n4+MvPB4AezcQERHR9FLzUbcQwgDwSgD/oy6TUmaklIf9fz8M4FkAxwHYDWBp6O5L/cuIZowJy0HWdrF8dicuPGYuAK8M4fGdg4AA3nXx0VgxpxMHR7yzmwlD8xscqs2yhBY5s6FCz4YIj5OIWkYRtZFEC2ihaR7qtRgMNkxLxTIbSk1kmYpqyyiklHBc72/3suPnB5erkqiupIEFvUkAjQmOEBEREbXKVI66rwDwtJQyKI8QQswTQuj+v4+G1wjyOSnlXgDDQohz/T4Pbwbw2yk8N1FbuX7dTrz4G/cAAPo6TJiG96eXdSSyjosFvSl84oUn4Oh53UGwIRn0bMiNvoya2WBW6NkQ5XFMvXQphmLFvIzC0ARcqYINMriMph+VKZBpeGZDdWUUagmGJvDCUxYGl4enuKixnY1oaElERETUKlFGX/4MwH0AVgshdgkh3u5fdQ0mN4a8CMAT/ijMXwJ4t5RSNZd8L4DvA9gCL+Ph91NfPlF7uHvzIRwYTuOVpy/BJavnBan8luMia8vg6/5OM2gglzJ1v2dDroyiXj0btAjTKIxp0CBS1/IzQwDEer1UO/U7nT+Non49G75+22a888fr8JP7tgeX3f70gYr3U2vQNYGkkesXoocyglQAjJkNRERENJ1UnGsmpXx9icvfWuSyG+CNwix2+3UATq5yfUTTguO6WNzfga++7jQAuf4Blu16fQ/8TId3XnQ0FvamYOoarjxpIf7jrudyPRuqaBBphIIUk9cig7PA5XhlFJUyG+IdbAiXoViOC00g8veQ2osqS8g2aPTltXdsQU/SwLyeJK44YQFu27gfj+8awljGRley9Eep+v3TNYGUGQow5GU2CH+99W9oSURERNQq7TNEnaiN2U5+oEDXBITwNsCW7SLpb9iPX9iL46/K9VTVBPLOzEfPbCjfsyFSZoMmImQ2yLwNVNzomghGX1quy34N05j620iHp1HUsWeD7bh4wznL8eErVwMA/uPOZ/HPv38aGdtFV7L0/dTfr6EJpMxcZoNZJLOhEaM6iYiIiFqFR95ETVCYTSCEgKlrQc+GUn0PDE2rqWeDN8WiRM+GiFMtTEND2nLwsV8+gS0HRoreJu6ZDeEyCitUrkLTTyN7NjiuhCtz2RMA0J3yYvWVAnL5mQ3hMopimQ0MNhAREdH0wSNvoiawXZlXow3kpj1YjltyE6wXjL4sfIxSDE3AKXGWNOpUizOXz8Li/g78z7qd+N3je4vexnJkvIMNQsBVmSGuG6l8hNpT0WkUdSpLyE0yyf3+qMyESsEGu0QZRbhBpPobYs8GIiIimk7iu0sgmkaKZSWYuvAbRJbODvB6L7jBY0Td1xu6KHmW1I2Y2XDFiQtwz8cuQ8LQSnbd9zIb4ruBDwdr4h4YoakxtMkNIksF3KqlfofyAgRGtNIHNxxsCDWIDJf0sGcDERERTUc88iZqAtt1J/VbMP3MhnCDyEKayG2WbcfNS+MuJ1w+MHkt0Xs/AEDK0PJS08PiXkah5Y2+dGGyOeS0pfqQNKJBpGroauT1Wagus6GwZ0M44MdpFERERDQdxXeXQDSNFM9s0JC1JbKhBpGFjNBm2ZXRJykkdB2Hx7I47u9/j9s27M+7zq0y2JA09byzxWFWmayMODDyRl+yQeR0pkoc0laoQWTdyiiKZDYE42vLBwjU758mokyjYLCBiIiIpg8eeRM1QbFsgoSR69lQasOuayJI0y6WHVHKm847Cn992TGwHBdP7B6avJYI0yiUpKEhY5Uoo3DjXZqgCQFXAlJKf63MbJiuipZR1CuzwQ9ahH/X1e9S1AaRhl6Y2TA5S6JeZR9EREREcRDfXQLRNFKuZ4PlSCRKlFF4PRty0yiiBhtWzu3Ch69cjf4OE0fGMnnXuUWaVZaTNLTSmQ1t0LMB8LJC4p6FQVOjfqfzGkTWq2eDowIG4WCD9+9K2RO5BpEakkY4wMDMBiIiIpreeORN1AS2M3mDH/RsKLMJDvdsqGb0pTKrK4EjY9n8tVTRaBIAUqZeukFkzDfw4cZ7dsH4UZpeimc21KeMIuuozIZQn4UgsyFaGYUuBISYfP/wv9mzgYiIiKYTo9ULIJoJSvZscCSyjls6s8Hv2eC6sqqeDcqcrgQOj+YHG6oZoQkUz2wYzdh44LnDyLRJsMF149/MkqZGjXMNNzOtX4NI1eQx9/uT0KM1iAyCDUX+/hVOoyAiIqLpiMEGoiYoPo1CwLK9zIZEiTPuuqbBdiQcmTs7Wo3ZXQk8d3As77JqRmgCQNLQkbFc3P70Afy/mzYi67g4OJLBeNbxn8Osak3NpL5fjpT+NAoGG6arXGZDqEFkncooVEAhPxtBi/QcQc8Gf31vPX8FdhwZx+yuRO6xOI2CiIiIpiEGG4ga6JEdA/jjxv04NJotemZTbdjLZTY4rsydHa2yDGB2VxJ/3HgAV37tTmhC4HNXn+wHG6rIbDA13LHpIB78ryNYNrsDZy6fBUPXcOnq+Vg5twurF/ZUtaZm0kKbOLtMbwxqf3qRMoq6ZTa4xaZR+KM2K46+dPPW99mXnTTpNuzZQERERNMRgw1EDWA5LjbuHcY7frQOh/2eCcXKKMYymeDfxei6gO26k86ORvXKM5bgyFgGjgvctnE/Htp2xHvcKqdRKP/xF2tx4uLeqtbQSmpv6LheZkNXkm9501UjezbYKrNBK9IgskJmgxpdW64ESj1uvTIxiIiIiOKAR95EdXZkLIs3fO9+PL1vJO/yWjIbdH90ozrjqVVZRnHWitk4a8VspC0Hx3/6ZmTtyenglahxfSvmdLZVoAEAdH9D6AUbOPpyOgsyG0JjWu965hAmsi6OnteFl566uObHVk0gw0FBFdyo1LMh1++h9O+eHmTgsGcDERERTR8MNhDV2edv3ICn943gvZeswrELuvHB/3kcwOQNfsIQGE5bAEpnNhja1DIbwo8DAH/echhAdUELldkwpztZ03O3ksrgcKWE7bJB5HSmsgPSfoPIFXM6cc+WQ7hnyyFoArjq5IU1//ytItMozCobRGpl/nbV49ZaRvGtO7Zg/e4hfPW1pwXBQSIiIqJWY7CBqM4OjWYxryeJj151fBBMAIpnNoykbQBAd4n0fl0TGE3b+Pz/bfC+rnGzpJ77Qb+M4pyjZ0e+b9LwNi/hhnbtQn277t58CMMTdtDUj6YfUxdImRrSlovelIHb/+4SSAlc98B2fPq3T2FgLIv5vamaHlv1XQj//gRlFBUCBKq5a7TMhtqCDV+6eRMA4ANXjOO4BfHtoUJEREQzC4MNRHU2krZwvN80MdzvwChoynjCol78/sl9eOdFR+OqkxcWfazZXQkMjFv41aO7sfaoWbh09bya1iSEgCYAVwK9KQNnLJ8V+b7qNcztbr9gQ1+Ht+a/+4WXXTKrM76TM2hqDF3D7//2IuwbSmNJfweEEBAil5FzeArBBqtIKYTKRqhYRlFi9GXe2rXygYsNe4ax48h4yfcJJWuzDIOIiIjig8EGojobnrCwqM/b1CRCZ0ILNxvvvngV3n3xqrKP9XcvWI2Xn7YEpi5wzPxuiCp7NoTpmoDryKrP7ncmvMyGeW1YRvGCkxbgpr95XjAx4PgYT86gqVs5twsr53blXaYyco74jVprYRfr2RCUUVTIbHAqBxtKZTbc+cxBPLZjEF+77RkAwJ8/fhkW93eUfJxKkzGIiIiImonBBqI6G0nb6El6Z9CFEEjoGrKOW1O/BVPX6taUUdcELEeW3fQU8/pzlqMraeDlpy2pyzqaSQjRdk0tqb7m+MGGQ6OZmh8jV0aR+9tJRO3ZEGkahd+zoSBw8alfP4ldAxPB1+lQ88tiLGY2EBERUYywgJmozkbSNnpSuTiemjRR7Sa/3lSzxGqDHov6OvCui1dhYV9tKehEraTKKH732J6aH0NlLyTyMhtUgCBag8jCMqowTfNKPgqnUWRtF69duxRfv+Y0ALkxmpXWSURERBQHDDYQ1ZHluJiwHPSkcr0BVLCh1kkS9aKCHa0OehA1U3+H97f4x6cPQFbYrJeiAgrhzIbc6Mvyj5nr2VD+ObzJM/mP5bgSCUOL3Iwy65TPfCAiIiJqJgYbiOpo1J8uEc5sMIJNfmv/3BhsoJlI0wT+5rJjANQ+7UGVSoSzE4QQMHURYfSld32lv39dE5PWZ7sShqaVnVYRDqBkbWY2EBERUXww2EBUJ796ZBfe+P0HAOQHG9RGIXxWtBXUZofBBpppUn6T00qZAaVYQYPIyeNrf/HwLrzvukfglnhsFYuolNlkaFrRzAZdE0EJVLFgQ/g+bBBJRI1mOW7F8jEiIoXBBqI6+f36fdhxZBxXnrgA562aE1wel4wCtdlpdTkHUbMFDRhrCDZ89ZZN+NmDO7zHKaiFePuFK9HfYeLGJ/diaMIqen+V2aBV+LsrntngNZbV9dLrDzeVZINIImoky3FxxuduxSVfuaPVSyGiNsFgA1GdTGQdHLegG99981osndUZXK7HZJOvx6Scg6jZVPmDU0MDxW/d8SwGxi288OSF6DT1vOs+fOVqvP3ClQCATImNvh00iKwcbCh8DNufHqPuWyx7IpzNUKmkg4hoKsYyNkbSdt6UHCKicrjrIKqT8ayNzsTkabIqBbrVmQ1xCXoQNZsqYbLc6jbjjithuxJ/ce5yfPsvziyanZA0vY/RUmMpv37bZgCV//5dKfGzB3dgLOP1fZFS+j0bcmUUxTIbwgEGllEQUSNlQwHRUqVjRERhDDYQ1cl41kFHQp90uRaTTX5cyjmImi3IbKjy4FgdWCeNyX/XirquVGbDeNaBEMCcrkTZ53resfMAAAPjWQCAWqqh5xpEFju4D5dRZFlGQUQNFH6fY3CTiKJgsIGoTsazDjqLBBtymQ3xmEbR6qAHUbPV2rNBbd7V+Npikv51Gbv02Mm/vGAlhCj/d3fJcV6wQQVE7GCKhQj+ditlNlQaw0lENBUMNhBRtRhsIKoTL9gwuYwiNpkNMSnnIGq2YLNe5cGxCiCUDzaUz2xQTR4rUaUeKtjghHo9BKMvZfmeDcxsIKJGCgdV+X5DRFEw2EBUJxNZu3hmg6b+H48yilaP4CRqNqPMNIdyMkEZRemPypTfsyFjFT/wVuMrK9EKxluqLIVwZkOxBpcWG0QSUZOEg6p8vyGiKCafhiWiqkkpMW4VL6N47dplGMtswwmLeluwshy1YdEqpHMTTTeqZ4NdZZmByhooF2xQmQ2lGkSqJo+V15ifvRA1syGvZwMP/omogcLZDMxsIKIoGGwgqoOM7UJKFG0Q+ebzVuDN561o/qIKsGcDzVS5zIbqDo6Dng16mWCDymwocuDtuhJSRuvXogWlHvk9G8INIos1uGQZBRE1CzMbiKhaLKMgqoPxrHdWs9Ms3bW+1XLTKPhnTzOLUbCRjyooozBraxBpBQGD6JkNbpHMBqNMsMHiwT8RNUk4oFmqTw0RURh3HUR1cHAkAwBFG0TGBTMbaKYqN82hnFxmQ22jL1VwIFLPhoI12qGeDYX9HMLCr4mZDUTUSOGgKqffEFEUDDYQ1cHXbn0GADCnO9HilZQWTKNgg0iaYUy/DKLYZr2cakZfFuvZYIeyEyoJMhsKp1HoIug5UamM4q7NB/G2/3wQH/yfx8qO4iQiqgV7NhBRtRhsIKoDR3pN4C5ZPb/VSylJpXIzs4FmmqmOvizbILJMzwY1PSLK31xh9oXq2aBrWhAgLFdGcdnx87GgN4XnDo3h14/uxtZDYxWfk4ioGhkGG4ioSvHN+SZqI5bj4sTFvS0fb1lOrmdDfNdI1AhmjaMvo2U2+GUURUZfqufTyzSYVFTmkRsEG0LTKPzrMo6L4bSFhK4h5feHeWrPMADgY1cdj9ULe3Dbhv34qx+v40aAiOouyx4xRFQlZjYQ1YHluEGqdlypDQszG2imUU1Rq55G4VQONng9FYChCWvSdU41ZRR68Z4N4dGXn/7Neqz57C0443O34vCo1yfmx/dtAwDM6jLz1spgAxHVW7g8iw0iiSiKeO+OiNqE5cjg7GlcMbOBZqqap1H42QrlyigAQBMCP7x366Q+CblSiAgNIlUTyMJpFLrIu//c7gTGsw6e2T8Kx5UYTtt43dplmN+TApDrT5HlWUciqjNmNhBRtRhsIKqDtshsYLCBZiijTM+DcjIRMhsA4MqTFgAARtN23uVVZTaoJpBOfhmFrml5f7MnL+kDAOw8Mo79w2k4rsSaZX3B9cxsIKJq2Y6LD1//OL78h6dL3mY0Y+PwWDb4mu8xRBQFezYQ1YHtyLYJNqhNDdFMoTb7VpXBht0DEwCAZJnRlwDwvGPn4aYn900aBWdXNfrS+/+kzAYtP7NhxZwuaOIg1m0/Etx2SX9HcH2SwQYiqtLju4ZwwyO7AAAfecHxk67P2A7O/+c/YjgUUGX2FBFFwWADUR1Yjhv7XgjMbKCZKjc6srqD4+/c+SwAIJUoH6BTgcbCtOJcwKBygK9wvKWanKFrIu+9pTtpYMXcLly/bheuX+dtDo6e2x1cH2Q2cCNARBXsODyObYfH8Dc/f7Ts7Y6MZTGctvHKM5bgyhMX4N3//QjLKIgoEgYbiOog67gwK6Rat1ous4HBBppZ1O9+YeZBFJeunhdMnChF9Wsp3OCrHhFRAnwqMcopMo1C9XMAgJSp4UdvOxvP+aMt+ztMLJ/TGVpL8cAHEVHYaMbG5V+9A5YjEXqLge24MAoyNVUD3MuPX4Dzj5kLAPifh3ZiNGPjvZcc07Q1V2Pj3mGMZWysXTG71UshmtHivTsiahO2I5GIexmFYGYDzUy19GyQfonCmqX9FW+bqJjZECXYkJ/ZkGsQqeXdP2noWDa7ExcfNw8XHzcPpy7LXx97NhBRWNpyMDCWnfT+NJK2YDkSb7tgBe74u0vwyRd55RPFpkwMjXvBhr4OE90JA5esnoddAxP42q3PNP4F1OiFX78br/7OfRhOT54U9Nc/exRXX3sv0pZT5J5EVE/x3h0RtYl2KKNQG664r5Oo3lSJgl3F2f5qAgXBBIiCg3RLTaOIMKlGBQOLZjaEgw1m+Y/tRIm1ENHMM5axcdbnb8Ppn7sVr/zWn/OuU9N21iztw1FzuoIMrmIbcJXZ0NdhQtME/uttZ+Ot56+A5Ui4VfbCabZ0Nv/1HB7N4H8f34PHdg5i2+GxFq2KaOZgGQVRRI4rS2YFWG1QRgGozIa4r5OovoLRl1UcFAfNHSMECtTf/pQyGwqyL5wSYzMrjeFUmQ3Fzk4S0cwyOGFhJGMjaWiTNtbqPUIFGVJm6feOcLBBCfeHSWnlS82aTWWmAfnv+1+4cQPu2HQw+Hr3wASOX9jb1LURzTTcdRBF8NnfPYVVn7wJT+4aKnq91QZlFEqbLJOobmopo1AHqGaE4Fwum6BgGoUTvUFkkNkgJ2c2hFXqH5Er6Yj32UYiajyVzdXfaQaZDErG9s74qwBmyoyQ2dAZCjbo8W1GGw4whN/3b3hkN8YyNp53rNd3Ys/gRNPXRjTTcNtBFMHN6/cBAHYOjBe9vh3KKBRmNtBMozb71WzAnSqaOyYM1YDSxc8e3IFP/fpJXHv7Fth+doIRpYyiIPuiVHPJqJkNLKMgIvWe1500kHXcvI13YWaDem9JW5PfO/7z3m0AgJ5kLiE6zu814eyMcMaZ7bi48qSF+NHbzoapC/z0wZ344u+fjn0pCFE7q7jrEEL8UAhxQAixPnTZZ4UQu4UQj/n/vSh03SeEEFuEEJuEEC8IXX6Vf9kWIcTH6/9SiBpHfViVSsO2HRn7MorVC7zxeEeFOtcTzQRqw/7ojgF87JdP4As3bqh4n2oCBeEJEF+4cSOue2AHvvyHTdg3lM57/ihrVAe9377DG7tZmBVRqWeDrgnomkDWYeMzoplOBRe6U15GQjhrQWU6qPKJpJ/ZoDIelJG0hd2DE5P6xyRKlI/FQSb0Op2CLAf1Ol66ZjH2D6fxnTufZe8GogaK0rPhvwB8E8CPCy7/mpTyK+ELhBAnArgGwEkAFgO4TQhxnH/1tQCeD2AXgIeEEL+TUlY+4iOKARW5V3XUYVJKb/RlzDMb3nrBSrzhnKOCAwSimcLUBeZ0JXDLhv3BZR9/4QllgwBBz4YqG0SOZW0sn92JHUfGg9TjaNMo8jMbDo1mAACL+1N5t0tVKKMAvPTmOJ5tJKLmUoEAlZGQthx0+f/OlVGUz2xQ7yX/8NIT8y6PczPa/MyG/P4Nqj/OV193Gu7dcghv/P4DODCSwdHzupu+TqKZoOKuQ0p5F4AjER/v5QB+LqXMSCm3AtgC4Gz/vy1SyueklFkAP/dvS9QWVE2iXSQNO6jtboNmCAw00EwkhMCdH70U93zsUrzr4qMBVO7fUE3PBvW3P5K2ISUwvycJABj0x8XVktmQtV287YIVk+bdV8ps8NYj2LOBiIL3sW4VbAhtwoMyCrOgZ0NBZoN6Lyk8xmmXMopimQ2Keq/eP5xu3uKIZpip7DzeL4R4wi+zmOVftgTAztBtdvmXlbq8KCHEO4UQ64QQ6w4ePFjqZkRNo84OFNugqABE3MsoiGay7qSBpbM6MaszAaBysKGqng3+QbjKZJjf6wcbJrIAojWILJyYMWE56DAnZzFUahAJAAlDzzvY/uffb8Rl/3oHXvGte4vOnCei6Uk1iOxO5TIblMIGker/hY0k1fFPqWBDqyffHBhJ47Gdg9h5JNdTK1wKokYQSym9zIbQ+/H8Xi9z7MBwpkmrJZp5at0dfRvAKgCnAdgL4F/rtSAAkFJ+V0q5Vkq5dt68efV8aKKaqH1JsZ4NKuuhXRpEEs1kuU19+QNkq4qeDeqgWwUX5vd4B7DVZDZo/jQKV0pYjgvblcGZxrBKDSLVbcJnG2/dsB/bD4/j0R2D2HG4eJNbIpp+CjMbJrKTezbkRl8W79mQDYIN+e9j4dGXrXT1N+/F1dfei8v/9U6MZ20A+QETFVhWh2/hY7XelIGEruFrtz3DJpFEDVJTsEFKuV9K6UgpXQDfg1cmAQC7ASwL3XSpf1mpy4naSrGzoSrqzxIFovhTG/+KmQ1V9WzwblOY2VBNz4YgCOLI4OxjOLNhlj9yLjx6rpSEoeH2TQfwVz96CBNZBxnLRX+Hd784NnMjosZQmZe9qfw+Dd6/VbAhP7OhcPRlcIxTWNIVk54NgxMWOkwdWcfF8IQfbAitSX0P1OsIv6cLIbCwL4XxrIM9QxyDSdQINe2OhBCLQl++AoCaVPE7ANcIIZJCiJUAjgXwIICHABwrhFgphEjAayL5u9qXTdQ84Wh3scwGu0Q9IxHFT2G5Qinq7zpKCYQqoRryD3RrymxQQRApMeEf7KcSuWDDzR+4CLd88KLgsct5/dnLML8nids2HsDWQ2PIOm6QRs1eDkQzh8rQ6goaRIZ7NvhlFAU9G/79T1vw2d89lXsM238vjGnPBtuR6PODqeq9MxxUUVlsKoBcGPz94POPBcD3RqJGiTL68mcA7gOwWgixSwjxdgBfEkI8KYR4AsClAD4IAFLKpwBcD2ADgJsBvM/PgLABvB/AHwBsBHC9f1ui2As3Syo2jcJiGQVR21D1upUbREb/u1Zn/AbHVRmFl9kw4H8dpRRDPZfjurmRdKFsqQW9KRy3oCfS47zzolX42AuPB+AddGdtF10JFWxgZgPRTKGCpirYWKyMQr1/ze5M4PVnL4OUwC8f3hXcrmIZRauDDa6LnoLXFy6jUIFl9f9JQRPdC7K0+nUQTVcVR19KKV9f5OIflLn9FwB8ocjlNwG4qarVEcVA+MM5fDZ0y4FR3LHpAA6PeRsKllEQxV/kzAZVRhEhUKCymob9som+DhMJQ8PBEa/pWJTMBsDLbnDc3Nm5jkTlZpClJEPN27K2G9Rst7q+moiaJ2gQGUyjyC+jMDQRbL41TeCfX7kG/3zTRvzovm3B7UqVUcShZ4PrSrgSuWCDVbqMolRmgwqiMBBL1BgVgw1EM91EqH7RCaXZffH3G3HbxgMAvM3E0lkdTV8bEVUn6NlQIWXWqWL0pa4J6JoIejR0JnSsWdKHddsHsKgvhd5U5T4LQC6zQQU4i02jiEo1fcvYLjK2g66k97XFs3dEM4YKmqr3oI17h/GSNYsBAE/vGykaCNU1kZf5VWriViIGPRscqTI3/DKKrLeWTJGMVJWtVvia4zJVg2i6YrCBqIx7txzCTx/cEXwdPhu6a2ACl6yeh2++4QwYmijaOZ6I4kWVNFSaRmFXMfoS8M6OHfGznDqTBn75nvOrXpsuvMwG1aBtKu8pKrNhPGPDlbmDcdYlE80c6n1ubrdX2nXt7c/ig1cch71Dady2cX9weZihibxjnUqjL1uZ2aCCIj1q2oblYOuhMTy5eyi4jVUhs0EFTZjZQNQYDDYQlfGf927FHZsOYvnsTuw4Mp4X7d89MIFzVs4O0hOJKP6iTqOwqxh9CQA9KRMHRzLQRC6lt+q16X5mQx2CDSm/6dtI2ksr7vYzG7KOU/I+RDS9qI32rC4Tn3zR8fh/Nz2N0/7p1uC45RvXnDbpPrqmQUqvREHTRKx7NqigSK6MwsFrvnMfDo1mgtuo9/pSAeQ4vA6i6YxF5kRlZB2Jk5b04a6PXoqEoQUfbHuHJjCSsbGEpRNEbaXqng0RMxt+8vaz8Z2/OAO/fM/5kcsmCulCwJHFR19WS5VRDKe90o6gQaTd2MyG9buH8N/3b+dZQqIYCE/Vuebs5VjQm0R/p4nTl/fjIy9YjfOPmTvpPrnsr/yRkZNHX3rvMQdGMhjx32eaTZXDqeDJ4HgWh0YzeOM5y/HTvzoHQO51BJkNemHPBmY2EDUST8kSleG4brA5UfXUAPCPv9sAAFg5t7tlayOi6kWdRqEOYqP0bACA4xf24viFvVNcm8BDWwewa8Cb966yE2qhyiiGVWZDqjkNIt/543XYM5TGsfO7cc7Rcxr6XERUXjhDqzdl4oFPXlHxPoXZX6XKKJKmBk0A3/jjZlz/0E7c/8nL67n0SNTrU+9vO4+MAwBOWdKHlfO6vNs4qmeDCiDHc4Qn0XTFzAaiMixHBsEGPVTHmLEdmLrAZcfPb+XyiKhK0TMbijcTa6TTl/dj9+AE1m0bwIo5nVjQm6r5sVRmgzrjqM78Nfrs3Z6hNAAgzQN3opazqwyaAuH3SO9vWGVDFWYEpEwd33/LWlyyeh4OhsoWmino2eBnk+084gVq5/Ukg/fu3OjL4uOMVRCFk3qIGoOZDURlOK4Mzi4aoQ7NGdvFqUv7m7oRIaKpy521q9AgskTKbSP9x5vW1u2xkgU9G7qaFGxQOPWCqPWq7T0DTM5syJYoowCAy45fgMd3DuGOTQchpYQQzT0mUu/TXf6Y4B1+ZsO8nmQQYAkyG0r0bEgys4GooZjZQFSG7bgw/A8sXdNCmQ1ucDBPRO0jOGsXcfRl4VmwdqE2BsMThZkNzZlGUWnaBxE1nvp7rybYUJj9ZZcooyh1+2bK9WHQ0GHqeGb/CABv+oZe0HsiGGdcotElJ/UQNQYzG4jKsF2Z37PB/zDK2i56a+w4T0StE3kaRaixWjvSNIGEroUyG/xpFE06e5flgTtRy9XyPlbY10Ztwk2j+GOoTb3jSpTraSulxEd++QQ2HxjFMfO68ZXXrJlyJoQdCgq/6+Kj8eSuISzqT2FhbwoZO79XQ6meDUEZhc1JPUSNwN0SURmOK4MzAoU9G1RNNBG1j8JO66UEPRuaWEZRb0lDC6ZRJA0dpi6aVkZhs/6ZqOVs14UQ1fWeKcxUKDX6UgnKFSo13XUlfvnwLmgCeHznIL74qlNKPmZUTqi3zgeuOC7vusLAcqlsNWY2EDVWe56yoWllw55h/O/jeyBl/N7orVAZhaHnplFkWUZB1JaiTqOw27yMAvD6NqhgQ8LQYOpaQ4MN4ceuVKZCRI1nu7Kq5pBAaJPuFEyjKPE4hbcvtxYA6O9MAECQeTAV5d6n1WVWMI2ieNNfFfBgg0iixmBmA7Xcm37wAA6PZbFybhdOXtLX6uXkcVwZfDDpmoAV6tlQrFkSEcVb4Vm7+587jB2HvaZii/s7cOGx3tz5du/ZAHjZDKo7e9LQkDC0hp69G8/m0pB54E7UerbjVt3kNpf95U+jcLwR4FqJ90J1e6tCnxa16e9M6Dgy5pd0Jata2iSlmj4CXimZJrz38n+5+Wn8Yt0ub72FmQ06G0QSNRKDDdRyh8eyAIDBcavFK5nMcnJlFOGeDWwQSdSewtMoXFfizT94MG9jfP27zsPZK2fnGqu1ac8GID/teVZnAqauNTQIMJ61g3+zjIKo9cLju6MKlx+4rsS1tz9b9jGq7YOjmtVm6tAjodLUIEPTkLYcfO/urZPWqwghYOqCAVKiBmnfoyiadkYz8Qs2OKEGkeFpFFnbRUJnzwaidhPObBjJ2Mg6Lv7msmNw0988D7om8Nr/uA/PHRzFqN9YsZ17Nrz+7OW46qSFuP5d52HZ7E4kdK2hIynDmQ2sfyZqnQ17hnH35oPYNTAOo8oszPB7pCrDWtzfEen25ajMBzWGN2NN/b0o17OhxKQMXWDrobH8y4rcttHvjUQzGTMbqOV0TcBxJYbTduUbN5ntusEHtaHlejZkbIeZDURtKHwWTo2FXDq7Eycu7sU3X3863nPdI7jsX+8EAGiidFO0dvCui1flfd3oBpET4WADR18StcSh0Qxe/O93Q7XBOnpuV1X3D/e1UaUF7y54LwlTm/dKPRtUADIINtSjZ4OalFEi80LXBJ7YNTTpskKmoWHccjCRdWDoouSYTyKqHoMN1HIdpo7RjB2cSYyTvNGXujeNwnUlLEeyZwNRG1IHxrYjMeQHG3pTJgDghacswn++7Sxs98+ELZvdOa2mzhi6ht88tgdffNUapMrNqKvR1259Jvg3G0QStcaB4QykBD7ygtU4Z+VsLJvdWdX9w5kKKiCQKDH2Epjc46EUVVrVXccxvKp0o9S0jUV9KTyzfzTvsmIlF52mjp8+sAM/fWAHelMG7v34ZejxPxeIaGoYbKCWS/nBhpEYBhscR+amUfgZGKquj5kNRO0nPBNepQj3deQOKi9dPR9Y3ZKlNdyivhS2HBjFhr3DOGP5rLo//uBErhSuWSM2iSjf4ITXB+v05f1Yu2J21fcP97VRfRWSZYINUXs2BJkNieb1bPjd+y/EwHgWB0cyeNk37/VuWyQw8aVXn4r1e4awfvcQ/u+JvTg8mmWwgahOuFuiGPA+LOLYs8Fyc52cdc3LbFB1htPpjCfRTJFXjzzhBTh7O2ZG3P1Dz/fm0A+OZxvy+Lbj4uLj5jV86gXRdJa2HLz7Jw/j2tu31HT/Ib/Z9ix/xGS1gvdIJ2JmQzBistLoy4KeDXXNbCi+vpSpY1FfR17PiWI9Gy48di7effEqXHXyQgCcpkNUTww2UMupyHQsMxvCZRSaBseVyDheNL7chy8RxVP4rJ3q2RDObJjOZnd5m4+BscYEdi1HwtQFTM3rDfGjP2/DG753Pw6MpBvyfETT0bbDY7j5qX348h821XR/lWHU31nb+1o4U0EFBMpnNuR6PJRjBz0b6ldGYUccUdyTygWUyzX9VSeR6tG8kog83C1Ry6kPoPueO4wPXf8YPn7DE0hbU0+vmyopZd7YqMmZDfzzIWo34cyG6x7cAQDonSHBhlkq2NCozAbXhaFpMA0NtuPii79/Gn9+9jDW7x6qfGciAgCkp7jRVWPE+ztqzGzQc++R2Tr2bLCCng3e+209yihy0yjKBxvCmajlAhPqddZjbUTk4W6JWk59QI2kbdy56SB+/tBObNg73OJVASpIr4d6NhwezeDm9fsAMNhA1I7UQelI2sbjOwcBAN2JmVFG0ZM0YGgCR8YaVUYhYegChqbBCvW3Gc3wwJ0oqqmebNm0bxiGJpCqsa9UOFMhl9lQumzUqLJng2oQWZdpFBEzGwBgYW/Kf/7S7/fquK4eWRdE5JkZR1gUa44r8d5LVuGjVx2Pe7ccwhu//0AsOpmrKLyK2s/uSmDXwAS+cNNGAMAC/4OLiNqHqtfdfngcAPD1a06DFuFAdToQQqC/M4HtR8ZxYDiN+XV+D7NcF6auIaGLvJn1cZw0RBRX4WCDlBJCRH9/Ghq38JvH9qDD1Ku6X1g4+0uddYnSINKuWEbhvSd0qgaRdShVqDSNIuyOj1wCy3GDnhHFJIPMBgYbiOqFwQZqqaBUwR8jqWYbx6GTuVMQMf/8K07GOy86Grom0JU0GGwgakPqoHTbYW+85dJZ1Y2Fa3cLepO48Ym9uOnJvbjrI5dWPRavHNsvOzN0LW/jEcfmv0RxFS6juPb2LRjLOjhz+SxcceKCivdVE3befP5RNT9/uK+NHSHYEB4nXI7lqp4NfrChDsd56jmLNX0slDL1iiN/Eww2ENUdgw3UUup4VG3oTT+LIA6dgIMPMT8AkjR0HLugp5VLIqIpUu81G/Z4pVrLZneUu/m08/VrTsevH92Fa29/FvuG03UNNqjAsakLZG03CNgys4EounC/gK/c8gwAYMWczkjBBnWi5oSFvTU/fzizQWUflOvZkMtsKH/cZgc9G1RmQz16NviZDWWaPlYjaBDJng1EdcOic2op9eGkShWCzIYYRJWDtc2QFGuimUDTBK48cQEW9aVw2fHzMa872eolNdUx87txxQnepqXeQQDbdb1pFLqGoYlcNsNIhsEGoqgKezYsndURuWlkkJE5hc13eBqFOvFTrmeDOkkUtWdDp9+zoR4TyKrp2RAFezYQ1R8zG6ilcilw3geFip7HYUZ7PT60iSh+vvvmta1eQkupM4ujdQ4CeGUUGkxdy5t4wcwGougKAwvze5LYemgs0n0tZ+qb73BZhMo+iJbZUCnYkJ/Z8PU/bsYHrji25t4SQPRpFFGxZwNR/TGzgVrKDpr7xK9ng1XniDkRURx0pxoTbLAcL7PB0AUGQhMv6v08RNPZREFmw/yeVOQz7bmMzNoP73W9WGZD5Z4NlTIb1NpMXcO5R88GMPUTSzc/tc9fQ73LKFp/DEo0XTDYQC2lavhMPX49GxwnPxBCRDQdqAZtY/XObHC90ZemrmH/SCa4fP2eIXz9ts0YzzLoQFRJYRnFgt5k5GMiuw49DIr1bIgyjaLwJNGTu4bw1J6h4Otw1sWlq+cXvU+17t1yGEBuwsVUJVhGQVR3LKOgliocW5SIVWZDfiCEiGg66PIPzOtRM624roTjemUUrz5jKUxdoDNhoDtp4P+e2IOv3fYMZneZeP3Zy4Omu0Q0WWEZxayuBCxHwnVlxTG9qjTVnEpmQ2gaRdZxoQmU/Zs1tMk9G9KWg5d+8x4AwLYvvjh/bboWZLFOZcy5er6/vfzYsmUe1chNo2CDSKJ6YbCBWqqwuU+cGkRWM7+ZiKhd6JpAZ0Kva2ZDODj72rOW4bVnLQuu++prT8Xl/3onPv3bp/C5Gzfi//76QhzHyT5ERRVmNgRn2x0XKa386MbCptu1UMdj377jWWQdWXEjr54r3LPhwHAus8lxJXRN5K2tHlmsqtykK1n+e1INXRPBNB0iqg8GG6ilCmckmzFoEHnjE3txwyO7gqZmU6l9JCKKo+6kUddeCoWjgsOEEPjq607Drx/ZhR/dtx3bDo0x2EBUQsZ2oGsCjiuxZmlfkPGZsV2kzArBhjo0iOzrMPEX5y7H7oEJAMApS/rK3r5Yz4b9I+ng35bjQtf04LjO1EKZDRXGZZajgqWqLKxeErrGng1EdcRgA7XU5NGXre/Z8IuHd+KB547gmPndOHvFbJy0uPZ51UREcdSdNPDzh3biH19+UtmxdlFV2uSctqwffR0mfnTfdoxnmaJMFGY7Lr74+6cxOGHhoW1HsKgvhVs/eDFMXeBnD+0EAGQsB3ZCh66JkhMccsdUtZ8kEULg81efEvn2xaZR7BvKDzakTD0ojzUNEaxvKmUUQbChTv0aFEPX8tZPRFPDYAO1lF1QqqDqDFvZs8F2JE5Y1INfvfeClq2BiKiR5vYk8dyhMTyzbxSnLC1/5jIKK9RpvpSuhBfUGGOjSKI8zx4cw/fv2YrZXQl0mDouPX4eOvy/l6T/N3X2//sjAOCi4+bhx395dnDf/cNpJHQNs7oSdclsqFbQUNI/bvvVI7vwu8f3BNerNalmk9543KmfWFJBy85E/cooAEBKiRuf3IsvjGfR35mo62MTzUQMNlBLFZZRaJqAoYmWBhssx2UDMyKa1t57ySo8uPVIECQIk1LCldX1q8mVUZS+T6ef7jyeYWYDUZjq0/DlV6/B5ScsyLsu3DOhw9SxZf9I8PXAWBbnf/FPcFyJxX0pDKvyzyY2tg6PykxbDj50/eN511uuCyklvnbbM97aNFG0QeRPH9iBzQe817ZiThfecv6Kss/bqDKK165dhu/fsxVDExb6OxP4t9uewaZ9I/j6NafXrREl0UzCYAO1lONOjsKbutbSng22K5Ey+YFCRNNXuWa87/nvR3Dbxv2466OXYnF/R6THC1Kky/S46fDrzevZK4JoOlA9Aor1ZAhvcBeFAgoAMDCeheNKzOlKIJXQscdP/29mryn1N//79fsw5gcS/+nlJyFpaPjYDU/CcmRwrHf68v7gpBKQe9+wHRef+s2TwftS1nbxurOWle1R0ajMBpXppTJv/+22zQCAjw1OYMXcrro+F9FMwGADtZQ6qxaeCV1LJ+DbNx3AnZsOAvA+eP76smODFMRq2f74NiKi6cooUmet3PzUPgDAnsGJyMGGYLJQmTOquibQYeoYZxkFUR41ajFZ5Mx5+LI53QkcHssGX6syhM9dfTIe2nYEzx0cA9DcMoqkoeHUZf1Yv3sID28fAAB0JgyoFdiOG7w/PP9EL2sj1wzcW/+R8SykBD794hOQsV18/saNFRtiqnKs7jpnNqjjv8J+EnEYyU7UjhhsoJZS0e7w2bCEoVX1pi6lxCd/9SQOj2aRMDSMZmycuqwfLzhpYU1rsh03qCckIpqOzNA4vVKqCfqqeu1KJWhdSR1jbBBJlEf1MyjWrDWc2TC7K5F3fGTZ/jGUruXdt5llFJom8Nv3XYDv3fUcvnDTRgBefxbLP76zHHdS5lOuP5d3myN+AGVOdxKHRzPB/cpRZRSddQ425Bpe5j8/J1QQ1YbBBmopFTnWJ5VRRHtT/+Lvn8b163biyFgWX3r1Grzw5IU45bO34NmDo1NaUzW1ykRE7cYscfYuLFNF0Dc31q78e2dnwsA4yyiI8qiNbLJICWdCD2c2JPOOj7KOF7hLGFpeBkQrsjN7UrktRVfSCIIB4TKKwsljKkh5eNQLNszuSmB4wgJQPtj55h8+iIe2HvGeq85lFGaoB0UYMxuIasNccWqpwtGXQHU9Gx7YehhJQ8M7nrcSLz5lEXpSJhb0JvGT+7YHH2LVslw2iCSi6c008g/2i6kqsyHCNArAK3NjZgNRvnJlFHmZDZ0JWI6ElN4xUtbPbEjoWl6gopmZDUpvhxn8uyup5/rCOG5wTKfKO9QxlsqsUqUhc7sTwest9f4jpcS9Ww7huAXd+OSLjq/7xAg96CdRGGxoXS8xonbGzAZqqWJjmkxdRB6HZDsSqxf24FMvPjG4bHF/Bx7dMYiHtg3gvFVzalpTpbNzRETtTJ35LHyvVZsYoLpggxVhGgXgnfHcfngMN6/fhytOmM/ALs0otuPi327bjMEJb3N9/qq5eNEpi3KZDUXKKMKXqV5UliORMHLHSglDIBW6XblGrY1SmNkwki6W2eCtK1EwjeK/7t0KAJjdlcwLUhSTtlw4rsQLT1mEd160qu6vQz1/YWZDtb3EiMjDT3lqqX+5+WkA+ZF7U9ewa2ACf95yKO/AtxjLcSelC37+6pMBeF2aa+G4kgfARDStFR7sK+G65Chpw396ej8+9esn8Z07nwVQObNhSX8Hntk/inf/98N4wE+DJpopntozjG/evgW/fXQPrn9oF778h00AgIwVLbNBpfirv021AU7oel5mg96KzIZUKLMhYYTeY3I9G/QgsyHXFyFjO3hkxyAAoL/DDF5vqR4JIxmvzKLejSGVoGeD4+Ydg7KMgqg23FFRS7n+G/nxC3uDy+Z2J/H4zkG84fsP4Ol9I6XuCsALDBQ2c5zd5aXUDfl1f9Wy2CCSiKY5o2DToqStXIlDlDN537r9WVy/bice3TGAo+Z0VhwN95XXnIof/eXZAHJN4ai1Hts5iKuvvRcv++Y9+M97t2LboTG4RaaU0NSp3/kfvf1svGbt0qA/QbpMz4aj5nTimrOW4TMvPXHSWf+g8aIh8htEtiA7M5zZ0JnQg5M24cwGM+jZoDKrJPb54zq/9Oo10DQRBBtKbe5H042ZQqEE/SRcmVc6ETXjlojyMdhALZW1Xbzs1MV5DRm/86Yz8YVXeNkJleax20WyEFR0fbjGYIPtskEkEU1vQbChYFM5HuqnEOXg2nJcnL9qLtb9/fNx50cuxZIKozIThobjFnQDyHWTp9Z6cOthPLZzEHuH0vjH/92AS75yB77+x82tXta0FExd6Eqgt8PEcNqClDKYRpEokhlk6hq++Ko1eNsFK0Ob9MLMhsIGka0INoR7Nhi5LAzXDXq66GoaRahB5F4/2LC4z3vvUN+DUsFOdVzYuMwGPyMjtO5y6yGi8hhsoJbK2G5eiiDgfYAcPdc7GK2UtmY57qT+Cp0JHYYmppTZ0IpOzkREzaIO6K2CA+iJKjMbLGdydlklapNQKZhMzaHO3t72wYtx7RvOQE/SwEF//GD+7Vw88Nxh/tymQAUbZnUl0JsyYTkSE5aDjO3A0ETFEs5EKFsAQKhng4aUmctsaMUJk96O3OY/aWi5LAw71yBSHa+p68ayTjA9bFF/CkCubKRUsFP9/nU1KNhgBGUU+ZkNLKMgqg0bRFJLZW23RI1i7s2+nGJjKoUQwRmDWtg1HDwTEbUTtakpnCU/EcpsiDJX3narD852JbxDD9VAjlpLbaJ6UgZevGYRPn/jhklBKAD49aO78dFfPoE3nXsUPuf3RqLqHBnPwtQFepIG+jpUFqaNTIljoUJqioz6+ZTKbBCi+ccwSUPHjX9zIXRNQAgR6sswuUGkuu7Tv1kPANAEsKjPDzZUaBCpyijCZRv1ZIRGX4an9TDYQFQbBhuopbJFMhuAXKf0Sm/uxcooAKCvw8TQRG0HsmwQSUTTXa7RXH5AN5zZEOXg2nZk1WP2NE2gK6HzDHlMqKC9FjrrXOxnv3fQS3fnz61292w+hP7OhH9SxDsEH05byNhOXmZCKYU9G4Jgg6FFClY02kmL+4J/54++9Mec+79j4XKRl6xZhFeesQSdfhDSbHEZhVqj5UrYbm3TeYgop/XvTDSjZZwSwYYSB8KFbLd4M8felIH/fXxPTQdFluu2pN6RiKhZzCIB3Wtv34KP3/BE8HWkMgrXrTiBopjulBGcoaTW8koH88dPF/vsVROe3ApToqi4zftH8OTuIXT64ytVf6mhCQsZK2JmQ0HPhqBBpK4hGSFY0Uy595hwZoOaRhEONizGZccvCL6uNI3ifx7aCaCRZRRq9KWb9/6YrXA8SkTFMdhALSOl9MooihyoJkqk+BayHVk0hXex36TsMX+cUlSOKyEl2LOBiKY1TRPQRH6p2k8f2IHxrIMXr1kEIFqwwXsPrj442500eIY8JixH5p1pNnWtaL38Yb/fANPJa7P98DgA4LMvOwkAgjKKL9y4EXdvPhQpWDCpZ4Md7tkQr+MW08g1gVTr1YPsmdx7hiqfUApfY6EHt3kjc/s7zaLXT5Vao+XIvPdH/t4T1abiO5MQ4odCiANCiPWhy74shHhaCPGEEOLXQoh+//IVQogJIcRj/n/fCd3nTCHEk0KILUKIb4hWFJRRrKgPkuKZDdHKKEqNqXzXxasi3b/Y43nPz19PIprewunyacvBnqEJXHPWclz7hjPQ32lGnEZRW9lZd8rEvuF01fej+rMcN+8zL2FoebXqyoAfbMjaPMMbRcZ28OnfrMf167wz8XuHJgAAJy3yRn2vmt+NC46ZA8txMac7gZf4Qb5yio2+FMJL/Q+PvoyDcDlsbvSlP40idEJnUrDBKF1GYTsupAQ+9PzjasqoirTucM8GTqMgmrIoOUj/BeCbAH4cuuxWAJ+QUtpCiH8B8AkAH/Ove1ZKeVqRx/k2gHcAeADATQCuAvD72pZN00G4i3IhQyteRrFp3wge3j4AAOhK6sg6btGuyyoAUe1cZLtgFjQR0XRl6hoOjmbw6I4B7BlMQ0pgxdxOAN7ZxfDB9f89sQe3bdgPy/Uy0r7ymlPR12GWLGWrJKELPLRtAOt3D+HkJX2V70AN4wXt8zMbip1VVpMUqv1cnak27x/FT+7fDgB41RlLsXcoDUMTmNudBOBl91z3V+dW9ZjBsY3/t5nxf3ZCCMzuTAAAls4qP362WcIZCpab37NB0wSOnteFjOVijv/9CO4XBBscFBr3e8qoUpRGMILRl5xGQVQPFYMNUsq7hBArCi67JfTl/QBeXe4xhBCLAPRKKe/3v/4xgKvBYMOMFu6iXEh92BS+uX/6N+uDFDql2Fm1St2MS3H8DxaWURDRdGfqAr96ZDd+9cju4LJj5nf71+Wn0n/v7q3YtG8Yacu7bMOeYZy3ak7JUrZK3nDOcjy0bQD7htIMNrSYN740HGwQkwIKD249gg17h73bF5zh3XZoDP9y89N4wznL8bxj5zV+wW0i3Nvipf9+D/YPp7GgNxU04qyFWTAWMlyK2tdp4rF/eH7REzitkOu95RY9tvrThy8per9SzWsBYDzjBRsa1a8BCI++dPPKKBhkI6pNPd6R/hL5QYOVQohHhRB3CiGe51+2BMCu0G12+ZcVJYR4pxBinRBi3cGDB+uwRIqjXK3h5Ah1eM5x2HDawsXHzcP33rw2uMwsmtlQW7AhiL4zs4GIpjkVqL1k9Tz859vOwg3vOS/oJp808jMbLNvFhcfMw6/fez4Ar+wCKF3KVskJfio5zxa2XuHPsNg0iqf2DOXdPuyuzQfx+/X78KM/b2/sQtuMGmTQldAxryeJU5b24a+et3JKjxmcSLFzZRRmKLjQ35kIpjq0mjqO+ubtW4JyhCjHVomCgErYWNbr89LQzIZQGYXlht8DWT5EVIspvSMJIT4FwAZwnX/RXgDLpZSHhRBnAviNEOKkah9XSvldAN8FgLVr1/Kve5oKNzYqZJbIbEhbDvo7zbwav2KZDcH9q/xwsJnZQEQzhO63TjplSR8uXT0/77qEoWEsY2NgLIukqQXlEh3+Qb4akemNH64+2FDYVZ9ax3bdvM/RRJFgg/psPGvFrElTAkb8qSKcGJ1PZTZc+8YzcEnB31et1N/NO3/yMNYs7cOugYmi2aFxkNA19CQNjKTt4P0iSjNZ9Xoe3TGIB547jPm9Kayc2wUgl9nQyICKEZqikZ/ZMLmsg4gqq/mvVQjxVgAvAXC5lN47qpQyAyDj//thIcSzAI4DsBvA0tDdl/qX0Qym3riLjXsKj0wKm7AcdJh63jzqYh9etfZsYINIIpophtMWAGB+T3LSdZ0JHbdvOojTP3crTF3AlcDxC3vRaXqHDRNZB1J6I+1qCc5W6jhPzZO188soDF1MCtSrz9LOhIGRdH5jTzVVRICfm2H+oTG0OvZDD2eg9HcmMKcrgXOOnlO3x68nIQQ+8Pzj8Ln/24Chce+9JkozWSEEOhM6btu4H7dt3I+EoeGJz1yJlKkHmQ1dDcxsUH3AHNfNa5S6ce8IbnxibzCtZyLrYMJyMLsr0bC1EE0HNQUbhBBXAfgogIullOOhy+cBOCKldIQQRwM4FsBzUsojQohhIcS58BpEvhnAv099+dQK41kb+4cz6EkZQaOjnUfGcWg0g9OXz4r8OJkymQ1qs1/YEXsi6yBl6nkBimKBgVp7NrBBJBHNFONZL+A7ryc16bp/evnJWLftCLYeGsOP7vPS401dQyrhvbdOWE4QKKjl/bLWUjeqv8Imn8XKKNQZ3s6EPum6MT/YwCyVfKqMop7BhqWzOvHCkxfiqDld+PgLj6/b4zZKd9ILCgxNeL8jUcfk/vgvz8b+4Qwe2zmA7929FQPjWSzq68C4KqNoQs8Gr7Gl90MUAnh4+wAe3j6ANUsvxbLZnXjZN+/B5gOjePCTl2N+7+T3UCLyVPxrFUL8DMAlAOYKIXYB+Ay86RNJALf6Eyzvl1K+G8BFAP5JCGEBcAG8W0qpuvm9F95kiw54PR7YHLJNvf57D+DxnYPQNYH7P3E55vUk8bJv3oOBcQt3f9R7E46iXBlF8Gbv5p9dSVsuOhIFmQ3Fyij8ywp7PlTi+PV5OssoiGia604aGM3YWNA7ObPh5CV9OHlJHx7ceiQUbBDo8N97J7JOUIddywg6M9Q8jlqrcBpFoqA5qLqNrgmkTH3SdaN+GQVHA+ZzXZXZUL/HTBgavv0XZ9bvARtMNXIcnPAmmUTNGl27YjYA9b3bisFxC4v6OjCmGkQ2MLNB0wQ04Y++9H/Xf/Gu87DjyDg+dP3jGBy3sGw2sPnAKABg58AEgw1EZUSZRvH6Ihf/oMRtbwBwQ4nr1gE4uarVUSztG5pAytSQtlwMjGcxryeJAT9FbmjCwrKIj6MOTJJFDlSFEDB1kXcgajsuso7rl1GEOmcX+SQ3ai6jkCUfk4hoOvnem9di495hrFnaX/I24WCwqWtBoDec2RAlNbpQ0FWfG9SWsxyZd8a5WGaD5bgwNOH1cygosRiNcWbDlgOjePk378Frz1qGz7y06hZiU6LOlYg6Zja0GxVsGJrwyyiqPJHT12kCAAbGvWDFhJ+N1cjMBsB7TwuPvkyZOhb6vcJGM3ZQIgPkRsISUXE8fUtVy9huMM+58EBRNQGKQh2YlBrTZGhaXhmFeuxJPRuKZTZotaXoXvfA9pKPSUQ0nZy3ag7+8sKVQY1yMYmCWn5T12DqAhOWE7w/11JGwZ4N8WE5bn5QyRCTfi6WI5HQNf+6gsyGTH5mg5QSWw6MxCKQtO3QGMayDn758K7KN66zXM+Gpj91bHSrYIPq2VDlN6O/I5F3/6/e+gyAxmY2AN46bcfNy95Sr2UsYwcjgAHgyFimoWshanfcUVHV0paDnpQXbS7sSp2OGGz455s24kPXPw6gdLDBy2zIHfCoYEMqoec3syry4aVpAoY2+aCokq2HxgAAZx4VvfcEEdF0lTBy768qQJAydb+MovbpPeGeDf/8+404/Z9uwZYDI3VYMVXLdvIbRJq6FoxWVNSIRVPXJgURCoMNN6/fhyu+ehc+87unGrzyymy3dQGPoGfDDI42dCUKMhuqDEzO6vKONQcnLAyMZbFvOI0l/R3o6zDru9AChiZguxIDY7nyD5WlMZa1g+a6AHBolJkNROXEYxgvtQ0pJTK2i56U96szKbMhGy3YcOvG/UjoGt583lFYvbCn6G0KUznTWe/fHWZ+RLvUh5d3/+rOmo1nHVx4zFx2FyYiApDQw1lk3ntth6kjbTnB+38t03t0vy7aclz89P4dGMnY2HpoHMfML/55QI2jSiQU1bPhyFgWNzy8C1eetMDv6yCQMHL9HBxX4vFdgzjsb7bU5fuHvWkVuwcnmvxKPHsGJzC3O4mEUfwYYGjCQnfSKJvRUw8uMxuCbIDBGssoVGbDU3uGgvebL716TcNLU7wyChef/d8NAHKvA/CCa8MTuWDD3qHW/J4TtQtmNlBVso4LKYFeP6pcWKMZtYxiIuvgvFVz8E8vPxlJo3g6nKGLvAaP4TKKvNuV+PAydVF1GudE1kFng9PziIjahWnk1/IDQEdC98oopji9x/Q3tepzpHD6EDWHylpQTL9e/YaHd+ELN23Ed+58zu/roHk9G/yf068f3Y1XfuvPQVBBfd6O+5/ViRaUIz607QjO/+Kf8Nc/ewTA5MyGDXuGceo/3oL3Xvdww9eigg0zu2eDdzw1OF5bZkPK1NCbMvDf9+/AZ373FExd4OTFfXVfZyFdE9i8fxSOK/GK05dgQW8ql9mQsYNMDQD47/t34PAoSymISmFmA1VF1ampzAbLduGEJkZkrGgHi+MRNvWFmQ1BsCGhFdyu+IeXd1ajuoPXKOsiIpopEgXp9YAX8B3P5no21FJGoR7bsmUQtCicPkTNYTkyrymyqWtwXIlth72ywoztwHYkEn4ZhSu9wNCWA6NI6Br+821n4acP7MDD2wcAAOP+xIBWtD561p8QsHm/9/8gs8H/375hLzBy+6aDDV+L6iFYz9GX7abbP1Y85G/Gq+3ZIITAb953QRDQmt+TCppGNlJXQscDW71heu+5ZBUAoNM/0bXzyETwXrj2qFlYt30AB0czmNM9eaoPETHYQFXK2N5BRG8ql9lQLCBQyUTWQUeUYEPo4PPWDfsAIK85JFC6mWOxjtqVjGcddCT4Z0FEBBROo/A2CilTx60b9uNVZyzJu7yWx846ThCwZmZDa9gFoy9VNksQbLBcuFIGZRSAt4nfOTCOJbM6cMExc/H79XuDz9txv5yy2tHT9bB/2NvUqg1p4Rqydn7woZFYRgEkDR3/8JITsfXQGI6Z311TlsfR87px9LzuBqyutG+98Uw8s38Es7sSOG6BV9qlaQJdCR0/uX97cLuXnbYY67YPRD7RRjQTcVdFVVFvqL0duZ4N4SaRUYINaoRlp1n+18/URd7B592bDwEAVszpyrtdqUh5LT0bJrI2MxuIiHyFjQMB4DVrl+KxnYN4dOcggNozG8yCMYqt2JwSkHVkXtBeZbNs3Os17JywHGhCwNC04Hfg2YOjuPGJvXjesXP9++i5Moqs1zCyFZkq+0fSeV8XllGogIgjG782l5kNAIC/vHBlq5dQtRMX9+LExb2TLh/zA2nvuWQVrjhhPib8XmJxHPtKFBfs2UBVUZkNahpF1nbz+iJEaRCp6jkrbeoNTcPjOweD8VGOK3H58fOxuL8DALCg10tZS5llejZU8QEgpcS4xTIKIiIlf/Sl9++Xn+ZlNGw9OOZfXmPPhoIxilYLJwfMJHc9cxBrP38rfvnwLuw4PI5DoxkkQj/DpbM6AQBH/E78E1kn6OugRg6+5N/vAQCs9s/6JgwNmUmZDc37ebquxMPbj2DTPi9Aon6vJo/w9C53mxJsUD0bGv5U1CRvOe8onL68H++5ZBXOPGp2kOnDzAai0pjZQFVRPRtUGUUm1NwLANJ25WCDCkhUKqPIOi72DKXxzP5RrF7Y43fDzh34/uAtZ2H97iGcurS/6P2Lje8qJ2N7zS87WUZBRAQgf2yf2pB2Jw3M6jTx7EGvLt6ssTjf1HMbVAB5/X+ocdbvGcKh0SzueuZgMDni1GX9wfVXnbwQ6//xBXBciff/9BGMZmwI4f38X3rq4qBE8dgF3Vjjf/4mDG8kppQyyGxoZqbK/c8dxhu+/0DwtcqYKQx4qJMjTYg1sGfDNPSPLz857+ukCjZEOPYlmqmY2UBVyWU25MoowpkN6SiZDdlomQ0fvOI4ALn5zLYj886gnbykD9ecvbxkz4ZqG0SO+bPCmdlARDRZuFxi+exOPOtnNpTKLqskoWsYTdvB19WWvVFt1EZ8JG3h4EgG3UkDrzxjad5tupMG+jpMpEwdE1mvQaShaehKGnjVmUtxzdnLceZRs4NAUzLUy0F9xjczU2XAn3bw1deeiouPmxfKbCheRlGJlBL3bD6EPVMY3ymZ2TDtJf33vmonnxHNJDyF2+aytte4qbBpYqMUTqMoDDYc8tMuC63fPYQdR8bxwpMXBmc9Km3q5/V4ZRLq4CDruFWN0jJ1DWNZByNpKyj7KGc8YsYFEdFMFB6P+PmrT8EDWw+jO2mUzC6r+Hi6huF0boQcG0Q2h/pMHZyw0D2WxdzuRMnbdpg60paDlKmjN1H6c1Q1Cc06blDX3szMhqzjPecZy2fhni2HgqybwgBWNuKa7tp8CG/54YM4Y3k/fvXeC2paE3s2TH9qdHuGwQaikpjZ0OYu+fLtOONztzYthSvt91vo7fAOOqyCaRQ3PrEXB0cmzxt+yb/fg/de9wiePTgaKqOo3CASQGgGu6yqNrgzoePBrUdw6j/ego17hyvefueR8eB+RESULzwe8ZSlffir5x1dNrus4uPpIm9evc0yiqZQGQeHR7M4NJLB3DIj+7xgg/c5nyjz+atOBExkHYz7WYLVToOaClUznzA0b6SqOm7wX6t6zeE1ySK1FGnLwbW3b8E3/7QZADCasSfdJipOo5j+EiyjIKqIwYY2lrYc7BlKYzzrBHOtG03NOu5KGNBE/jSKExZ5nXvVPOXwOpWxjBM8RqVNvUrPVH0XCns2VPLpl5yIv7nsGLgS2HporOLtr71jCwBvjjMREeWrtTdDuccbDgUbmrk5nclUGcWRsSwOj2Uwp0xmQ8rUMGHlyihKURmBZ33hNmw+4GUVNDN4pE5KJA0tbxKVXfD/cB+nYut7bOcgvvyHTXhkx+CU15RrEMlow3SlyodYRkFUGssoGmzXwDj2D2ewsC+FJf4UhXoJZxA0qzbyq7c+AwDo7zT9Gem5MorzV83Bxr3Dkw4Y73/ucG6djot/vcV7jNldpQ9wAOTN81b3reZg97gFPfiLc4/CN/60JeiqXY6UwPyeJM5aMSvycxARzRThMop6SBgaDo3m3ps5+rI51Gf0aMbGlgOjOGvF7JK3TSV0TFi5aRSlXHXSIgyMW8HxwB+e2hf0QWoGldmQNPW85tBB0MGVkFLmHZ+kLWfSMYUa3/2Ld5+HH/9525SCDmwQOf3lGkQy2EBUCoMNDWQ5Lq782l0YzzroSRp44rNX1jXCfTCUQdCsxlqmrmHN0j4s6E0hoXvdp9UZha6k4a8l/033H/93Q/DvrOPC0AWOnteFVfO6Kz5X+PEsRwalFVH1d3oBjYEIwQbLcbFqXjfPQhARFWHWOR/8XRetwvLZnehM6Pje3Vs5+rJJ1GfqG85ZDteVeP3Zy0vetsPUgwzGcp+/fZ0m3n3xquDrbYfH8MBzR+q36ArUcUhC12AaubHXtpufyRCefpKxXfQUPI4KUiR0DUlDn1J6PMsopr8Egw1EFTHY0ECD4xbGsw7mdidwaDQLy5FIGPX71DkwnAs2NKuxluW4ON0fkZUwdGRCDSK7k14aZdbOD3yohpDe/SWytouzy5xJUSb1bHCry2zw1qihJ2kEnarLydouOjv5J0FEVEy9MxsuPHYuLjx2LgDgugd2wGFmQ1NkHRdLZ3Xg/73ilIq3Vc2nhyYsmGXKKAqZmpa30W+0jOVACO+4IdyzIXwixnZkUEICFN8gBkELQ0PS1Ka0iWSDyOlP9SphsIGoNO6sGmhg3Dubvmx2Jw6NZpGxnSAKOlVSSnz8V08EXzcrsyFjuUj6Bx9JQ8P63UNBT4ZSmQ2jaRvnrJyNB7YeCaZXRPk+JEKZDV76o6ypEVl/lxn8LABvxOVTe7yGkR2mjpOX9EIIgawj616TTETU7t510dG4beN+HDWns2HPYWiCDSKbxHJk5MlOqtxxNGOjr7PyVCfF0EVTy2Iy/rQqIQRMXYMrAceVeSdisgUNrcP9pILbhDIbUv4kjlq5HH057QkhkDQ0NogkKoPBhgZSqfsLe72Gg2nLRa29B3/58C48s38EQ+MWhiYsjGVtDI6Hu3g3PqoqpUTGdoIataPndeHuzYfw5O4hdCcNLPZ7UuSlLfpjsFQDKsvxyi6iBBvCDSLVQWi5btilzO5M4NeP7sZtG/ejw9RxoGBaxvXvOg9nr5wNy3GD10ZERJ5PvOgEfOJFJzT0OczQ2WhqLMuOniX4itOXYNmsTjiuxOnL+yM/h6lrQZZAM2Ss3Od3uAQzHMCyC4INqs9DWBBsMDR/E+md7KilvFIGZRSMNkxnCUMr+rtERB4GGxpInU1f2OdFGKYS+fzUr5+E40r0dZiY052AJgQuP34+XnnGUrzvp4805QyC7Uq4MtcQ50dvOztIHTN0gc37vQ7U4TIKNTZqTpc3WsvyG0pGOauiUnbDZyNqyWy4+Lh5ODyWxfOOnYt7txyGoQn8/YtPQGfCwEdveCJotJmtUJNKRESN0ewz4TOZ1+wx2medqWs4b9Wcqp/D0Jr78/ROYnhZl+ESzHBwwXZlXgDkE796Am885yi89qxlwWXq9qaf2SAlai6BZRnFzJA09KYG1ojaDYMNDXRkzMs8WNSXy2yohZTeB+RfX3oMPnTl6rzrbn/6AIDmjAxTgYWk/4GuaSIYdwUg+DAOr2V4wg82+JkNqowiSu2vOmCwHBmUidRS5vChK1cH3zfbcTGctjG7K4FdA+MAgNGMFay7XmUuREQUnaFpbBDZJNkqJzvVwtCb3bMhl9kQTLKy3byAhzrZ0ZM0cNryfjy2cxC/eHhnXrAhU5DZAADpGktg2SByZkgaGjbtG8HN6/fiBSctZJNxogLcWTWIlBJfvXUTAGBhn1deUGtmg+NKSFl8o234G/Jm1Lpm/NrFpFn816ZwegQADKe9jfwcv+4z45dERMps0HLzi3NnG6b2Jm7oWlCD2u33mBjNOMHzsGcDEVHzmcxsqKuDIxl8/+7nsGdwYtJ11Y6RroWpC1iODEoJGi3rFCujkAVlnd7oy8X9HfjJ28/B2StmYzzrTHocwNtABmMNazxRpA7LuPmc3pbM6sDD2wfw7v9+BDuOjLd6OUSxw51Vg2QdF4dGs+hK6OhNeZvaWrvVBmf1i0TWw30NGi2X2VBDsKHbK6NQc7ejnCXQNAFDE17d5RQyG0pRDS3VmqL2kiAiovpq9pnw6e4XD+/E52/ciB/dt23SddU0iKyV4Z8scPwd996hCfzdLx7H3/zsUfx5y6G6P1/GymUfhI9FsuFpFK7rjdD2szA7EvqkYIOaVmHqWtAMu9YmkZKZDTPCT95+Nr74Sm+yy1iGjSKJCrGMokFUgOBvrzg2KDuo9QNLRdqNIp9YQalBMzIbCsooJq9F9VjwX/vPH8VNT+4FkMtsUD0cojZiTBhe0zCrzPegVqbunbkIgg0Re0kQEVF9NbvGf7oLf64Vshw3OAnSKOGsS0MHbtt4AL98eBc04U1nOP+YuUXvl7Ed3PLUfmRsF+etmoMlfuPpSrJOblJWuGdD3jQKW+ZldXQljLzR3N59HOiagK6JXGZDjSdzXJcNImeCpKFjfm+uLxkR5WOwoUFUpoHXZGhqH1jqzavYWXd19sBuSs8Gp+Q6gNCoSv91Pr5zECvmdOEVZyzBmqX9AHLBhqgZBF6Hcln2ezAV3UkjWBN7NhARtYahc/RlPU1kvc/MYpufZpQM5nouuUiZOg4OpyEEsGJuV9kN2e1PH8Rf/+xRAMDLT1uMr19zeqTny1gukv5rCo/NDgewHtp2BAdHMujt8EZ4diZ1jBeciQ6fdFAnVmotgWWDyJmjWGYvEXkYbGiQ8OY4+MCqse4v3B25kBFqothoav0lyygKGkSmLRdnr5yN915yTBDhD8ooIh7oqPFZ6vWp4Eq9dPnBBttx4Zboi0FERI1laBx9WU8TVq4XUSFvGkVzyijUZv/gaAZzupLoMPW8iVWFVPC/O2mUTEk/OJLB/7tpI9KWg/NWzcH5q+bgoW1HgqkZ6nP8bf/5EA6PeeWsY1kHn/ndUwCAF5y0AADQmdAxbjl5oy2zdu6kgzpRNJq2axp/qRpECh5WTHu5zF6+hxEVYrChQbKhAEEyyGwoHR3/6q3P4KndQ8jYLpbO6sA/v/KU4IMtXENYSF3WjFrXqGUU6oAxYzt5kysMTQQHD1EzCBK6gFXHBpGFupIGxjJ2EMxgZgMRUfOxQWR9qbLNYicimtGzIVfi6X12HxjOYH5P0s9WLH28ooIj3Umj5O0e2nYEv350N7qTBn6/fl9w+axOr1zzzKNm4TVnLkXWcWFoGl6yZhEW9qWC/gzHLugGAHQmDDiuRMb2si8ArwxUHct0JrxD5Nd993688owl+OprT6vqeyCZ2TBjhJuSElE+BhsaJNi8+rOagdKZDVJKfOOPm4MP4nu2HMJnX3ZS6MOv9EZb9TBoxkGaCpaUmkah1qJ6NmRsNy8LwtS16ssoCno21DvzoDup47aNBzDiN7JkZgMRUfMZGhtE1tNEtkJmQ50D94UM/7P0Az9/DClTx5+ePoCLj5uHiaxTdE1K1j/O6ErqJX8f1P1/9d7zsf3wOCYsB3O6EliztA8AMKsrgS+/5tSKa+zyR3dPZJ3c8VbouOX05f347EtPxM8f2okndw1Fedl5OPpy5igsIyaiHAYbGiS8OQ7Pai5GBRPecv4KJA0Nn79xY1DnGH6sYmcimlknlq0wjUIIgUTorEXGdvMCE6Yuaiqj8Ho21H8aBYBgDOYfnz7grYuZDURETWfoAvc9N4DRjB2MJabaBWUURY4NLMcNggGNcuZRs3DG8n6MpG0cHMkAAE5e0ovHdg6WLSlV6+1OGkFWZ6FMEJAw8PwTF9S8RpW5MJa1YRoavvHHzbhlwz7M9adnmbqGt16wEpv2j+LWDfvKPVRRavXMbJj+CsuIo/jlw7twxybv2LO3w8Q/vOTE4LifaDrhJ3qDZO1cNkKlWc3hkZLFUrHKjX1sRupWxnYwMGZh/3DGX2fpN0PTL3uwHReOK/NumzCqz2wwNIGdA+PYtG/Y+7rOZ2P+6eUn4w9P7Q9mIycafLaHiIgmm+dv8O579vCUNpDkKdWzYWjcwqHRbMPLKI5b0INfvfeC4OvxrI0OU8fb/ushjKa944CDIxl880+b8eI1i3H2ytl56+1MGMFrKKRuM9XX0Jn0jk8e3HoET+8bwXfveg4AsLgvfwLGnK4EBsYtuK6EVkWaQtCzgYcV016ihp4N37vrOewaGEdPysS+4TRet3YZTl3W36AVErUOT+M2SJDZYOTKKL78h01Fbxs0XjT1opkK2dBjFcqNl2pcZsM1370f5/7zH/HJXz8JwEtvLEWVPWSKZEGYuoaxbHXBho6Ejid2DeHTv/UaO/WmzJpeQylzu5PQNYFdAxNVrYuIiOrnvZceAwCTRhFSbXI9G/KPDf5n3Q4AwKK+VFPX05kwIITwmz57m/C7njmIH923HV+5JXdslLVdCOF99pc6rlHHF1P9vO7yMxs+dP3jQaABwKSAwqyuBBxX4iX/fg++F7pdJezZMHMEDSKrKKPI2A6uOHEBvvTqNQCa03uNqBWY2dAg4Z4Npq5hbncSh0YzeTOeFXVQEN6Yhw8QyjVHNLXGZzbsHpjA2Stm4xVnLMHsrgSWzuoseVt1IFEs2JAwNIz4ZzRKlWIU+vsXn4hHdwxg5dwu9HaYOGFRzxReyWS6JjCvO4mdfmYDezYQETVfZ6h+nqL53eN78KH/eQyOlNCEwJdetQavOnMpgNI9Gw6PZgEA77p4VXMX6wuXWk4UCYhkHNc/bhJlyijKl3RGddzCHhy3oBsnL+nDa85chsd3DeKLv38aB0fSebeb45dbbtg7jIHxLN5x0dGRHl9N4WKwYfpTga/wsfjN6/fh2YOjePfFq6AXyYhRfc3UScNyU1qI2hmDDQ1S2NDwXRcdjS/4o5oKN7ThD04VCQ+/YZXr2RBkNjSwZ0PGdnHi4l68/uzlFW9rasLPbFDNJHNZEKauYXDcO9BJ6NHq0s48ahbOPGpWDauObkFvElsOjAKYelomERFVTwUbxhlsiOzJXYPQhMB7L1mFb9/5LDbtHwmuK7aRB4DBcQsLepNNXWeYqYvQeGxvjUZoI6ZGT5abWpGpUxnFkv4O3PLBi4OvF/Qm8bVbn8ELTlqYd7tZfrABAPo7E4jKDTIbprRMagOFWcl/+/NH8dvH9gAALj9hPo5f2DvpPl6wIZfRzMwGmq64s2qQwgkSKXXWpkgNYrAxN/SiwYNykxhyZRSN7dkQ9QyCaWhYt+0IPv9/GwHk5lQDwItOWYTVC3tx7tGzsWJu6eyIZjt31RzYrotZnSZWzu1q9XKIiGacjjKfkVTcwLiFOd0JfOjK1ehKGsHmHcht5DMFmQ0D41n0d0TfMNebqWtBx361Nr0g2JA0NC8Dosw0ioSuVdU/IYqj53Vj0+dfiC+84pS8y09b2o8X/P/27js+jvrOG/jnNzM729RlWZYt94Yrxg2bfmBTE0hyCSQXAkcK6ReSe55cuNw9qTzkSU8uIbkkQEISICSEXEI3kAIEY2wMuOHeLclWr1tm5vf8MUW70kpaSSutdvfzfr38sjQ7Wo002tmZ73zLEruPyHBu7PT2bGC0Id95o16dv4/Xj7d6j0UG6tcWt8+tx3OqHFE2MLNhjMSN5ABB0LnDH4n1P+i4b7gBnwKnf2JSkxk3tSplg0ilf4+HTJLSLolItzbyvLmVeOyNOjy2ow5AcjPJz2xcgM9sXDAm2zkat1+1CLdftSjbm0FEVLB0VYEi2LMhlX0NHbj3xcOwLEBRgFvOn40F1cVo7Y6jNGj3MfJrCt6s78DnH9kBS0q09djjnPs2rGvtiaM0lNneR8Ph0xRvmxJLZk53RBCNW+hxsj+1QcsozHHtr1Qa8uG/37can3pwO15LuIgcipSSzSELhK9Pg8i4KVFd4kdDe3TAPg7RhCwe+2uY2UD5icGGMeKWQbgZAV6wIcX4S69BpKYOXkah9X/XUhQBVRFjFhGNmxJSpl8beec7luNdq6fjHXf9HcDoayqJiCj/CSEQ0jWWUaTwwJZjePCV46guDuB0RwQBn4ovvHUJWrtjKHfS+v2aii2Hm7HlcDMmF/tRGfajtSfW7wKmrTue1cxCXVW8iy83+2LzoWasveNZb52ZlaFByyjc7IfxlpiVkQ5Lsl9DofACBk6AzLAshP0agNTBBsO0YDgT28ZjqhxRNjHYMEZipv0m6mU26Pb/HZE4OiL2HYeAM32it7+B4tVspSqj0JTUb66aItATN2GMwexsN0o72LjLvtwRZsP9OiIiKlxBXWWDyBSONXVjYXUxnrztIlz1vedxtMluaNzSHcPCKXbTZLdk0a8p2PL5DQCAf/vdG/jLvtNo64nj6V31MCyJ+vYIVmRxvJ6uKd5FVd+bLyUBDe0Rw2usPViwIRuTo3Std5JGOiwp2a+hQKjOjT/33D9uShT77UusaIqbjN65tU/pN1Vu+7EWvHKkGQBQ5PfhhjXTUzaYJMoVDDaMETe66Y6rDDgX3f/4o5e8daaWBvDi5y5NahAZM/rP6k0co5lKwKfi7hcO44+vn8IL//YPGb3Ajzp3Hobzxj4pMdjgY2YDERENLaSr7NmQwrHmbq+f0KzKEHbXteNUaw9auuNew0L3fd/tfQH0Xtjf//Ix/L8n3/SWz6nKXm+i5AaRycGEaeUhtNe1O6nlYsA7vcMp7cwkfZAASCqWZL+GQpL4Nxs33MyG1OMwezOalX5T5b70p91J5ToLpxRh1cyKsdx0ojHFYMMYGahBJABcsaQaMcPCn/eeQcy0EoINKiJqb71X73PJpOfq6zs3nI0HtxzH07sb0N5joKo4g8GGEYyYSjzZYRkFERGlI+hTvTKKH/75AH69+SgCPhU/uWkV5k3O7NjjiSwSN7H9WCuEAJq7Yth/uhMXL6gCAMytKsITO+tx3teeA9Ab3HczG0J9JkDFDAsnWrpRFvLhyU9dBEVJzj4cbz5VgWFJWJbsF1iqLvFjTx28OvaBuvNnr4xCDCvYIJnZUFASS4RiZm+woW+T1sRlqRrDd8cMbFxcjQ9fNAfv/PFLONMRG4/NJxozDDaMkb7jKoMJJwBXLp2Cxo6YHWwwLC97wO9E84E+ZRRDjHm69KxqNHbE8PTuhpTpWqPhHRBHmKEQ0llGQUREQwsllFH85pXjEELgUGMXXjrUXFDBhrtfOIxvPLUXQO/7/g1rpgMAPnDBbMysDMGSEkIIbFxkT0kYKLMhZlqob4tgSkkAU0oD4/ljpOTVp1u95z6uycV2EERXFWiq4vSMkv2yA8a7QaRrsNKOVOwyCkYbCoWdSeSUQlsSRYNlNhiJ5/3JDSKjhoWwrmJqWRCAHXAkymUMNoyRvuMqE4MN5SEd7T12x+2YYSVd0KfqSuumP6aaRuFygwGpIqijEUuIvg7Hwx9dj8ON3ZhbVZTR7SEiovwU0jXsPNWGD923Fceau3H7VWfhu8/sx5HGrmxv2rhq6YrB71y4xEz7wmN+tR1sKQ/reNfq6f2+xr3TH9J7T+t0VSBmWKhri6BmAgQagN7gSdyU/cooJhfb26ipAro3SlD2a44dM62s9IPyOQEQy5Jpjd1kg8jC4gajTEvCtCTCfvtvNNVNwOTz/t6/dcAusfBrKirCdolUS/fQwYa7XziMTbvr8V/vWYmq4uxlLhGlwhz3MRI3k8dVBhKCDRVh3YvK9y2jcA86iU2IooaFirDupWSl4p5oRAeY5ztS7kFyoKyKgayaWYF3rqplvSIREaXl8iXVmFISwPHmbpw9vQxXLJmCWZPCuOfFwwU1EjNmWgjpqneekM5dfPcco29mAwAcONM5IbIagN5y0LhhedMoALvBXmWRfXEViVveuVOqUopo3Br2OUkmuL/P+ADlHX1ZHH1ZUFRF4OFXT3o36QYro4gllVEk/61HDRN+n4KAT0VYV9HUOXSw4c7H92DzoWbsOtWWkZ+FKJOY2TAG7n3xMJ7e3QCg9421b2aD+0YZMyzc9ecDAJLTqdwyCtOygw43r5816Pd0o/wTrYyCiIgoHTetn4Wb+rzXzZ4Uwp66drywvxGXL5mSnQ0bZ+6dTdOSSRfeg+nNbOg91zhv3iSs2nsGlpS4cmnNmG3vcPgSbrQk9mzQVcW7kxvSey/A4oYEdPvc5smd9YjETdS3RzBv8vhnTSZmZQxy78cjmdlQUFRFwLQk3qxvBwAUOVlGsRSlN4llFJrSJ7MhoSdJeVjH5kNNKcuJEhnOtUJHpHCCspQ7GGzIsO6YgS/9aTcCPgVrZ1d4B4eA3nuyUBHWvTfcSNxCU1cMAZ+SsnbLjX4OdWfDPTClqg0bjd6Ouey9QERE4+szGxfg8R31GS8RnMjcngSGlX5mg9+5oZEYbFg5oxwPf/S8sdnIEXLPcS771l+Tzld0TcGGRdX44lsX44L5k/DSwSYAvRdqf9vXiE89+Jq3/oXzq8Zvox2JWRlII1Odoy8Lyxfeuhjv//lWtPXY4+29zIY+GccPbT2OH6a8yZgYbFC9x3fXtWNvQwfOmlIy4PdWhF220xllsIEmHgYbMqzTiSr+xzWLceO6md5yXVVwwbxJAOyTATdC3hGxD0q3bVgAIYTXlTbmHXR6o5+DGaueDV4ZBadKEBHRONOU5AB8IXDvbBqmE2wYRmZDYsnmRLS4pgTTK4KYVhZEZdiPQ41d2OOMuwz7Nfzz+bMBAFuPtADoTS13z5Ue+vB61JYHUV0y/mUh7k2idP8W2SCysLivvXbnOsDtx9A3s+E7m/ahri3irKNCVQQUYf9dGU7PB/f1/JmNC/Hx+19F8xClFIoQsKT0XidEEwmDDRnmHmSKA8m/WiEEfvXBc73P3QNJu3NgcMss9D5lFOlmNuiqW0YxVg0iGWwgIqLxNdwLvHwQMyz4fQri5nAyG/qXUUxES6eV4vnPXup9/o2n3sSeuvZ+5xhJZRToPbeZXhFETWlwnLY2mXsHOlVafCqWBPtWFRAv2OBkNvgUBbqq9MtscEseZlWGMKMiBMD+e49bVr/S5Wnl9t96ZJASaSkl3C5vLKOgiYjBhgxzU5iKhijoc08e3HQrd0a2lmIEDjCczIb0ezb8/WAjdp9qR3tPHLqm4OP/MA9CCPzp9VPYfqwVAHDwTGda35+IiCjTUjVNznduGnVMS+9mAwAE3NGXEzyzoS/3Ar5v9oa7329/5A3cvH5Wwojw7P18wy1XlSyjKChBL7PBCTZoAn6fipiZfF7e3hPHhy+ag9uvXuQt8ykChimTGsYnPmdPbOC/uZiTDQEw2EATE4MNGeamMBUHfIOu577BuiMw3YhovxE4w+zZMJxpFP/ywHY0JqRm/eOqWtSUBvGVR3ejpTvmnbzMqgxlJWWRiIgKW99sv0IQNUzoquK976fTIPKiBVV4+XATLj2reqw3L6Pcn61vAsCSqaVYVFOCrUdaEPRpWD2rHEDvjZls8CU0iEwHG0QWFi/Y4JzX+9T+mQ1Rw0TUsFASTL5G8GkKDNPqVzrtPmfi5Ja+uqK9j7WzjIImIAYbMszt2ZBuZkO7l9ngBBv61KemW8bQO40ivRMyw7TQ2BnDRy6ei1mVIXzu9zu8A2Jn1MBN62fhP9+yOK3nIiIiGgt9myYXgphhIRzWEDXS79mwamY5Hrx1/VhvWsa5N1j6XpTPm1yEJz51Id75o7+jJ25MiGbVqf4WpZR49VgLppb1L+9gg8jC4o6ddW86+lQFfp+Ck6092HGiDctqS73Mg5I+pdaaoiBmyt6/c5/bg8X+v2fQYENvNsObdR0Z+mmIMietELEQ4h4hxGkhxM6EZRVCiE1CiP3O/+XOciGE+L4Q4oAQ4g0hxMqEr7nZWX+/EOLmzP842dcxQM+GvtyTh749GxTnnem7z+yHZcmEKOfgb7BeZkOaZRQt3fb3nVoW8LIwYqYFy5LojpleF10iIqJsGe7d5HzgNoh0b0rkc4NmtwHoQAkAQV1FV9RExDDhUwXULF6995b0WGjpiuH6/34JF379z/jHH72ET9y/vd/67NlQWPo2iNRVBeUhHX8/2IS3/uAF7Gvo8G4w9s1+9qnCyWxIDqoF9DQyG2K9wYbdde3YdaotQz8RUWak+w72cwBX9ln2OQDPSinnA3jW+RwArgIw3/l3K4AfAXZwAsAXAJwLYC2AL7gBinzSEU0z2KClLqMAgCVT7fE2HREj/dGXw5xG0dxll09UhHXvuWOGhW7ngFbkz626TyIiyj/eBV5Bjb60oGuqF2hJp4wiV7kNQAcqNwjpKnpiJqJxK+sjuN2bRHWtEbx2ohVbDjejptQuMT3a1NVvfUtKKPm766iPYJ8GkZoq8NObVuP77zkHALDjRJsXiCgJ9slsUAWMpBuMQ5dRvLC/EV99dDfu+vNBAMC7VtUC6D2/p/ScaOnGfz27Hz94bj8a2iPZ3py8lNZhUEr5NwDNfRZfB+AXzse/APC2hOX3SdtmAGVCiBoAVwDYJKVsllK2ANiE/gGMnOemTw1ZRjFAZgMA3Lx+lvdYug0i3edLt2dDU1cUQHKwIWpY6HaCJSGdmQ1ERJRdQghoiiioMopo3IRfU7z3/Xxu0Kyrg9/5D+kauuMGIoaZ1X4NALyMz4/f/ypuufcVAMBX37YMt22Yj8bOWL+AGHs2FBY38yaxjKKq2I+rl06BX1Pwu20ncP/LRwEAJf0yGxTEU2Q2+FQFqiJSllF855l9uOfFw3h2TwMmF/tx8cIqAIVRcmaYFg6d6YSUo894+9XmY/jWpn345tP78LttJzKwddTXaK4oq6WUdc7H9QDcrkTTABxPWO+Es2yg5f0IIW6FnRWBGTNmjGITx195SMfZ08u8qRID8TIbIsnTKIDerIjhZDZoqgJNEWmXUTy+w951lWG/FwWNGVba0zSIiIjGg3siXihiZuGVUQx0UR6cQJkNy6aV4q73rsTPnj+EV52JXWUhH6Y6vRqu++GLqAjbF5EbFlU7PRsYbCgUQggEfapXTu1mJGmqgvVzK/GXvWfw0iGg2K95Iy9dPkVBfVsErx5tAZD8mg/6VERS3EiMxE1cetZk/OzmNQDglU8UQsnZnU+8ibtfOIzvvXsFrluR8lIybV1RA+UhH1p74oOWq9DIZeSKUkophRAZ++uWUv4EwE8AYPXq1Tn1qrn5vFm4+bxZQ67Xf/Rl75uoW8vVEYl785zTOdlQFYG7/nIQn9m4YNBgR9y08MAWO+4ztSzgBRhipuV1tWXPBiIimgh8qiiIE2hXNG5B1xQvY9E3xN3/XDZvchFCuoorl05J+XjIp6I7ZiJqmFnP8FAUgauX1WDb0RYv2FAa9GGKU0qxp64dq2aW40hjF+rbIlg8tXTAXhSUnwI+xbuJmNjY9Z6b1yBmWlAVAVUIrz+bqyzkw8uHm7HVCTa4QSv7OdWUmQ3uiFxXITXT3ddgN8I80xEd9XN1x0yEdA09cTPtUnQantFcUTYIIWqklHVOmcRpZ/lJANMT1qt1lp0EcEmf5X8ZxffPaYP1bEjMbEi3QSQALJ5agu3HWnGmM9qvK3KiX/z9CExL4rs3rEBxwJc0O9ptNBPW2bOBiIiyT9cKK7PBvYgohMyGs6eXYfeXB66oDfnti4BI3ITfNzHOSyYV+b2PAz4Vy2tLcd7cSqyeWY7PXL4Q//mHnfjTG6eY2VCAAj7Vq/vXEoKEiiIQUAb++73rvStxqNHu+1Ec0DBvcrH3WFBXEImlCjaYSceGQgo2uNkjmQgOROJ2iZY9ppSZDWNhNMGGPwK4GcDXnP//J2H5J4QQD8JuBtnmBCSeAvB/E5pCXg7g9lF8/5zmRjxbu+0ShqCeItgQjaddRgEAt144Bx/99ato7Y4PGmz48V/tZjIXLahKeu6YYXkjdJjZQEREE0HfMoptR1vw9K56AHY/gw9cOAelfebW56qDZzr7lVHkc4PIoYR0FVLaWaDZzmxwVRX7kz4vC+m4/0PrvM8rwjpau+OIGxZHXxaYtbMqsGl3A6pLestr0lFZ5EdlkT/lYwFNRSRFiXTMmVrjcjOgCiELzG3CmYngQHfMQEjX4PcZXjY5ZVZaV5RCiAdgZyVMEkKcgD1V4msAHhJCfADAUQDXO6s/DuBqAAcAdAO4BQCklM1CiK8AeMVZ78tSyr5NJwuGTxXQNQXtEQM+VSCgJfZscMsoesfZpPMm655stTpjLQfSFTXxnrXTURHWnW1xgg2middPtAJgsIGIiCYGO9jQewJ95+N78OqxFmiqgphhYeGUElyzvCaLW5g5DzsNypZOK8VLB5sA5Hdmw1BCzo2Y5q5Yv4v8bBlqOyqL7HOr5q4YBBhtKCTfvmFFxp8zpKvYtLsBK7+yCUV+DQ99eD2mlAa8EbmufM5seHDLMXzv2f341rvOxnnzJqHJ6TWXicyGnriJoE+FX1PSbrJPw5PWFaWU8j0DPHRZinUlgI8P8Dz3ALgn7a3LY0IIPHjrOhxv7kZteTCpx4Kb2bD9WCv21LUDSO9kozRkBxvcPhCJXj7UhNaeOK5YMgWGZaE8pHuPJWY2/OYVu5dD1QARViIiovGkqcK743S4sQtbj7bgQxfOxo3rZuLib/wlr5p6GZZE0Kdi4+JqbD1q34/xF3Bmgzupq7Ezhtry0BBrj49l00qxbk6Flx3aV2XYPn860xlNmjRGNBKfvHQ+/rrvDOrbI9i0uwFHm7rsYEPcSiot8oINedh34G/7z6CuLYLvPLMPBxu7vOucjAQbYibKQvZkPvZsGBu8fZ1FK2eUY+WM8n7LAz4VlWEdj2w/CQCYXOxHKI03LDezoa2n/4zdG36yGQDwyuc3IG7KpB4QbklHzLAQiZu4fnWtF7ggIiLKJl1VvBPoOx7bAwC4YH5Vb6A8j+7kGaaE5uTenzO9DJOK/FheW5bdjcoiNwOzrSeOsglyXlIR1vHgresHfRwATrX2YH5C7T3RSGxYXI0Ni6vxypFmbNrdAMOSkFL2a5rqllEYVv6VUZxutxtBvnKkBa8cafGWpzuBbzA9cRM1PhV+TWWwYYww2DBBPfXpi9DQHkGRX8PUsuCQozQBu24QGLyMoqnLfsH6E0Ztuidsdsdna8LcPSAiIkrs2dDYGcWimhJcvKAKTZ32+1ksj04QTcuC6lw0XLm0BlcuzY/ykJG6eEEVfvWBcxGJm1gxoyzbm5OWxVNLsG5OBToiBq5cknrKBtFw9ZY8WzAsCUsiZRlFPgVfXQ0dEVy3Yir+45rFkJDwKQqu/eELGSl7sKdROGUUGQheUH8MNkxQk4r8SR2P0xHWVWiKwKNv1MGwJD52yVyIPp2Q3UBE4gHK/bjROXErCfDPgoiIJobE0ZdNXVGscjICE0sA84Vh9WY2EKCpCi6YPynbmzEspUHfoJkPRCPhHhfihuXdgU85jcLIr8wGKSUa2qOYUhJI6peSqUyESNxEwAk25NN7yURSuIWAeUgIgUsWVuHQmU5846m9XgMVu42GzQ02JI7adMsomjrt9d0GlURERNmWmNnQ1BnzurbnUhnF/S8fw6L/fBLPvdkw6HqmJaEy2EBEfbjHu7gpvYvixJJoVRFQBGBYE/94mK77Xz6GVV99BjHDwuSSQNJjmcpE6I6ZCPlU9mwYQww25Jmf3bwGX7h2CQC76QmQfCLm9nNIzGxQFAFNETjjZjbkyQgxIiLKfbpmBxu6Ywa6Y6aX9ecGynPhBPGpXfXoiZvYU9cx6Hp2ZgNPzYgoWeK0Cfciu++kOk1VciL4mq5XjjQjblp4//mzcc2y5JIyfwaCA5G4ie6YiaDOng1jifnyecjtfux26E5MC2rxyiiSG07qmpKQ2cA/CyIimhg0ReBIUzc+/8hOAL2jBYUQ0NXcSH3d32AHGYY6mWVmAxGl4jaAjJmW16sgsf8aYAdgDTN/yig6Igaml4fwf966uN9jfk0ddc+Gu/5yEIDd1NXvUxBjz4YxwfB5HnLnUnc7mQ2J88lbuvtnNgB2sMHNbGCwgYiIJoq1syuhCIHn9zeitjyIsxOmM+hD1Nk+u6cBt9y7BR/+5VYcb+4eh63t794XD+NUWwTA0P0l2LOBiFJxMxsMU3pBy743DjVVeCVn+aAraqDIn/qaxO8bfRlFXWsPAOCfzp0Bv8oyirHCq8o85GY29KTIbGhL0bMBAMK6hpPOi67cmWpBRESUbR+9ZC4+esnclI/pmoKYOfAJ5+9fPYm/7jsDSwIbFlVjesX4T1s63NjlfTxUsMG0LGY2EFE/6ZRRJPa3yQedUQOTilJfk2SijKKlO4ZFNSXwa6oTvMif391EwmBDHgroAwcbvGkUfVKvvnPDCuypa8ekIj+mlgXHaUuJiIhGbqgyikjcRFWxHw3tUUSydCIZMyxMLvbDtOSggRHAvmvJYAMR9eWWUXTFDJxosW8O6n2zlFUlKZs513VFDcyaFE75WCZ6LDR3xVAZ1r3ny4WSvFzEYEMe8no2pGgQ2ZqiQSQArJ1dgbWzK8ZpC4mIiEbPp4nBgw2GibKgjob2KKLx7NTjRg0Lfp9dSz1UjbFpSWgqgw1ElMzNbPj6k3u9ZX1LDPKtjKIjaqDIr6Z8zK8p6I4ZONMRxZ9eP4W7XziMb77rbKyfW5n28zd3xTCt3M520zUFbT1xvHa8FSuml2Vi88nBng15aLAyitYBGkQSERHlGn2I7uuRuIVSZ8JStlJkY4YFXVWcko+hezaonEZBRH24wQYAWDK1BD++cWVS/xp3nXwKNgzWsyHs19DQHsWaO57Blx/djZOtPdhxsnVYz9/cFUNFyH5/uGRhFQC7zw9lFjMb8lCwbxmFmSrYwJMZIiLKbfoQqa9Rw8Tk4gCE6J3QNN6ihgm/pkK1rDR6NrBBJBH1pyoCigAsCcytKsKVS2v6rePL8TKKps4oXjveiosXVEEIge6YifAAwYaPXDwX8yYXQcKeWHT773egJ5Z+oOV/XjuJ9oiBcqeM4ry5k1Ae8nnXSZQ5DDbkIbf5Y0+sf2bD6Q67I3bfng1ERES5Rh+iSVgkbiHgUxDQ1CwGGyzomgLFGjq7wmCDSCIagM+ZmOBOnev/eG6XUXznmX341eZjuGZ5DVbNKAfQv1TENaU0gBvXzfQ+/z//sxMRw8TuU+24f8tRSGkHIT544ZyUjYFfP94GAHj7OdO8ZaVBH1p7GGzINAYb8pDXsyHujr60DzwXLaiCTxGYXBJAdXEga9tHRESUCf40GkQGNBWBLHYajxoW/JoCxUxnGoVMSpcmInLpTrAhOGCwQcGhM1342fOH8L71M3OuZLq9xwAAPPZGHR57ow4AMCPNCUIBn4qemIkHthzDr18+hoqQjqauGGrLQ/jQRXP6rR8zTZSHfJhZ2duAsjSko43BhoxjsCEP+VQBVRH9ejZ8esN8nONEComIiHKdrinoihkDPh6JW/D7VAR82ctsiBkWigMaFDF4M0vA7tkQ8DGzgYj6c5vHhvXUl28LpxRj29EWfPWxPThrSgkumD9pPDdv1KKGiYXVxfjlB9cCEtBUBRXh1KMv+wr4VEQNE9G4hWllQTz7rxdj4X886Y0J7StuyH7TPMqCPrR2x0b9c1Ayhs/zkBACIZ+Ke144gmt/8AI6ovaJWN8XFRERUS7TNQXbj7Xi+v9+Ce+7+2UcaexKejwaNxHwKfBrCiJDTIIYK3Zmg+qUfAwe8DAtjr4kotTcbgwDZTbc8baleOq2iwAALTl40Rw17LK3ycUBTC4JpB1oAOys7p6Yic6ogbCuQXcyxGID9LCImVa/6yKWUYwNXn3mqc9dfRbWzK7AGyfasK++AwCbQhIRUX4pCdh3+E629OD5/Y344+uncKKlGydaunG6I4KIYSLgZDYMdaE/VmKGCb+mDNlfAgAMkw0iiSi1uHP8GKhngxACZc50hfZI7l00R+PWiEs/Aj47oNwVMxD2qxBCwKcOnE3mTglKVBby4XR7FD/88wE0tEdGtB3UH8so8tR7z52Js2vL8Ld9Z7CvwQ42sA6UiIjyyb9fvQjXrpiKC+dX4ervPY9vb9qHb2/al7SOX1Pg96lZzmxQIASGHH3JzAYiGog7aWKgMgoA3qjfXOw9EDUGnj4xlKBPRU/cRFfURLEThNYHGQVqN+5NDmwsnVqK++JH8Y2n9sK0JP7lsvkj2hZKxqvPPDaj0m6qsvOk3XGVZRRERJRPJpcEcOlZ1fCpCq5fPR2zKkO4bcN83PmOZd46AZ/qlFFkr2eD7mY2DBHwMCwLmsL3aiLqL27Zx4+ByigA+3ina0qOBhusEWdhu315uqKGN8HCpw3cQDhVGcX1a6bjwB1XIeBT0J6Dv7+JipkNeawk4MOMihCONXfDrykoCfiyvUlERERj4kMXzUnqOv7vj+yAlEBAUxDwqVk7eezNbBDMbCCiEZNO+4GByihcJQGfN9khl0QNu6HvSAR8Klq7Y+iKGgjpQ2c2xAwT/hQZ35qqoMivDdp4mIaHwYY89+i/XIAzHVGUBX0jTk0iIiLKNVVFfpzuiNo9GzQFp7Oc2SCERGfEwGd+8xqe3t2A79ywAhsXVyeta0r2bCCi1DRFwLDkoJkNAFAa1HLyznwkbo44syHoU1EXN9EVM1Hkt38/vkFGI8cMywtK9BX2a+iMZuf9Ih8xVy/PlQR8mFtVhMoif7Y3hYiIaNwsry0DAJSFdIR0FW/Wd+Clg03jvh1Rw4RfU1FbHkRP3MTvt59EZ9TArlNt/dY1TWY2EFFqd7x9Ka5ZXoOl00oHXa8k6MNjO+pQ19YzTluWGe7knpEI+BSnZ4Ph3Vz1awpipoVdp9rwuYffwL8/ssObWJSqjMIV1jV0RZnZkCm81U1ERER55xvvXI499e1YO6sCU8sC+MNrp/D07nqsn1s5bttgmBYsafdM+sAFs/GOlbVQBLD+zudSnswaloSmMthARP3dsGYGblgzY8j11s6qwPZjrdjf0Ima0uA4bFlmREeT2aCraOqMwbCkF2zQnZ4ND287id9sPQ4pgZqSAD552XzEDAu+AY61RX4NnQw2ZAwzG4iIiCjvlId1nDd3EjRVwfLaMpw3txK/2nwU5/7fZ/D68dYx/d5/2H4Sa+94BuvufA4AvJ4NFWEdZSF9wDRd9mwgotG6ZnkNAAxYQjBR2T0bRnZpuqC6GN0xE4qwPwbsMoq4aaEnbqIy7EeRX0NzdwyAW96WOosi7FeZ2ZBBzGwgIiKivPevly/A/S8fx8OvnsCb9e04e3rZmH2vzYea0BEx8LZzpkFTBK5eVpP0eNEAJ7OGJTmNgohGxS0PGKoh7UQipRxVGcUt58/GjetmQsBu8gg4mQ2mhahhIuBTENQVtHbbvSxihgU9RYNIACgK+HDYKbeg0WOwgYiIiPLeqpkVmF4RwsOvnhjzO34dEQM1ZYGkEZyJwn4N3Sm6nTOzgYhGy72IzqXMBjcwMtIyCsDOZEj+XCBuSETjFgI+FWFdRXOXk9lgygF7NhT5VTaIzCCGz4mIiKgg+FX7rll0jE/C2yPxQcdNh/XUNcGGZXEaBRGNijs+MmrkzgWze0weTbChL11TETUtb8pFWUhHi1dGMXB/iLCuobEzin0NHRnblkLGzAYiIiIqCOOVXtweMVASGPgUK+xX0dgZ67ecmQ1ENFq5lNlw4HQHHnujHt1xO/jqBkoyQVcF4oaFqGFnNlSEdWw90gwp5aDTKNbPrcTPXjiM37xyHGtmVUBKCUUROH/eJBT5eek8XPyNERERUUFwTy7jhhzT79MRiaO2fOAu8GG/hqNN3f2W2z0bGGwgopFzj3NjncGVCT/+6yH8btsJAHbZw9xJ4Yw9t9uzwc1smFzsR1fMxC83Hx20Z8Nli6oR1lXc/cJh3P3CYW/5Z69ciI9dMi9j21coGGwgIiKigqAqAqoiEDPHNr24Y4jMBne02t8PNOKuvxyEhMTZtWWQElDZIJKIRsGfQw0iu2MG5laFsenTFwMAlAwGW3XVHn0ZMUyUBH348MVz8dPnD+HBLce9kcQDCfs1dMVMFPs1/Paj63HtD15EW088Y9tWSBhsICIiooLhnoBmwsPbTuDrT70J07Lvyn37+hVYP7cS7T1D9GzwazjdEcXN925BRVhHadCHu/5yEAAwa1IoI9tGRIUpl8ooIk7zxkwGGVzu6Mto3IJfU1AR1vGJS+fj+8/uBwBUl/gH/NqwXwM6oigJ+nDWlBKEdBWRWO70wJhIGGwgIiKigqFrmQs2bD3agraeON66fCp+u+0EHtp6HI++cQpRw0LxIJkN714z3evP8M/nzcL0ihAicRNCYMSj34iIADs7QFNEjgQbTAQy2KchkXusj6i93+O2y+bjnStroSjAtLLBSt3s9d3jeNCnoifOYMNIMNhAREREBcOt482EmGGhMuzHHW9fht9uO4FHtp+EEEBNaQDnzCgf8OvmVxfji9cuSVo2VifcRFR4MhlUHUuRuImgPnbBhqauGJq6gAvm2dkeiiIwo3Lo7LGwbl8iu8GGgE9FJD7xf58TEQsDiYiIqGDoqpKxxmlRZ3yaTxUQThZwdXEAL91+Gc6fNykj34OIaLgyGVQdS5G4hcAYZXPduG6m9/FwM8bCfjfYYJfDBZjZMGIMNhAREVHB8Gfwjl/MsMenCSG8OumAj6dWRJRdmexNM5YixtiVUcytKsJMJ4vBP8zjshtscEddBnwKIgw2jAjfEYmIiKhgZDK9OGpYXuf33v9ZDkFE2ZUrZRTRuDXsQMBw1JQGAIwgs0Hv37OBwYaRYbCBiIiICkameza4J7F+n/s/T62IKLt0TUF0BMc5y5I40xHtN+bxpYNN+Oqju9HaHcvUJgIY2waRAFBZZE+cGG7GmZfZkNCzgWUUI8MGkURERFQwfBlML44aJkJOIzG3jMI/yOx2IqLx4NfUER3nPvvwG/jdthMAgN9+ZD3WzKoAAHzpT7vwZn0HltWW4roV0zK2nZG4OWY9GwDgrctrcPB0p/dzpGthdXHS/0E2iBwxBhuIiIioYGSyljlmWih3yyd8LKMgoolhpGUUW480Y9m0Uuw42YaXDzV5F+kdEQMA0NKV4cwGwxrTPjdXLq3BlUtrhv1116+ZjrevnAaf2nt874kxs2EkGH4nIiKigpHJMopo3G4QCfQGGdggkoiyza8q2HWqDZ/93ev9SiL6isRN7K3vwM6TbTja3I3LFk3G7ElhfP/ZA+iM2kEGKSUAoLl78OcajrhpwbTkhB376wYaAPZsGA2+IxIREVHB0DUF0biFuraeUT9XzOwNNvQNOhARZculiybDr6l4aOsJbD/WMui6//t3b+CK7/4Nb/mvFyAlsLimBOfMKEPMtPDXvWcAAK1OwCKTmQ3uxXsuBGgZbBi5ib93iYiIiDJE1xTsbejA+jufw1O76kf1XNF4qmkUPLUiouz6yMVz8ZObVgHAkL0Gjjd3Y3FNCe5670rc88+rcdmiavz71YsAAGc6IojETXQ7JQTNGWwQ2RV1gw0TP0Ab0lV0xUws/cJT+NPrp9L+uu3HWvD+n7+CW+7dgi2Hm8dwCycu9mwgIiKiglEZ1r2Pd51qxxVLpoz4uRIzG/x9ejcQEWWTexEfNQa/I9/aHcOy2jJcvay3t0F5SIeqCOw61Y4/bD/pLT/W1I2XDzVhy+FmbD/eii9ftwS15aERbd+3N+0FAJQGfSP6+vH0zlXTETUt/PzFI9h2tAVvPXvqkF+z82QbbvjJZvg1BV1RA7MnFWHt7OE1qswHfEckIiKignH7VYvwxKcuxLSyII41dY3quZJGX7KMgogmkKATbBiqsWFrTxzloeQLflURqAjr+O22E/jc73cAACYV+bHDuYD+1qZ9eO7N03j50Mjv1rvZElcuHXnAd7zMqAzh9qsWYWpZEI2d0bS+5smd9YgZFr71rrNRHtKHDPrkK2Y2EBERUcEI6ioW1ZRgRkUI24614Kd/O4Tr10wf0d21qGH269XAzAYimgjczIbBeg2YlkRbTxxlKY5/lWEdZzqieMvyGvzr5QtREdKx61QbACBqWLjl56+gZRRlFZG4hcU1JTkVoK0M62kHG850RDG52I/Ll0zBl/60G9EMTUHKNQw2EBERUcFZO7sCLz3bhDse34PSkA/Xr54+rK+3LIm4Kb2MBjaIJKKJxG28GBnkIrcjEoeUQFlI7/dY2G9fJl44fxJmTwoDAM6bNwmAffxTBNA6iukUUcPMieaQiSYV+XHwTGda657uiGByiR+AnflWqMGG3NrDRERERBnw6Y0LsOXzlwEAupzxbsPhjs/U+zSEZINIIpoIAtrQmQ37T9sXzmWh/pkNn79mET69YQGuWd6/P4GiCJSF9FFmNpg50RwyUWWRjv2nO9OaTHGmM4qqIjvYoGtKwU6z4DsiERERFaSSgH2C3TOCk8DNh5oA9GYyBHX7/yI/k0aJKPsURUDXlEGPb999Zh8AYFpZsN9jK2eU41Mb5g94TCsL+UaV2RCJWzkXbJhRYTfD/NnzhwZc50xHFHe/cBjHmrpRVWwHGwI+lZkNwyWEWCiEeC3hX7sQ4jYhxBeFECcTll+d8DW3CyEOCCH2CiGuyMyPQERERDR8fk2BEEM3UEvlqV0NAIAV00sBAJ+8dB6++raleNuKaRndRiKikQpoCqKDjL40LYkpJYERTUkoz0BmQ65lgt1y/mwAwLHm7gHX+dFfDuIrj+5Ge8TAkqn2+4NfUxAt0MyGEYffpZR7AawAACGECuAkgEcA3ALgO1LKbyauL4RYDODdAJYAmArgGSHEAillYf7miYiIKKuEEAj5VK8r+nBEDRPTyoJYNdM+Sa8pDeLGdTMzvYlERCMW8KmDpu9H4hbmVxdBCDHs5y4P6XhmTwOWffEp3P/BdVhWWzro+o2dUWw53AxdVXDRgipEjNwro9A1BctrS9HQnrpJ5J66dtzz4mFcOH8SfnzjKq/vhd+noq1n4CwQKSUa2u2Gkooy/H0xkWUqnHQZgINSyqODrHMdgAellFEp5WEABwCszdD3JyIiIhq2oK6NqIwiGrdyrrkZERWWoD54sCGaML53uD556Tz807kz0BExcOBMx5Dr3/n4m/jYr1/FB+/biid21jllFLl3DJ1c7EdDeyTlY0/srAcA3LR+lhdoANwMk9T7YW99B97xo79j3Z3P4gd/PpD5Dc6yTO3hdwN4IOHzTwgh3hBC3COEKHeWTQNwPGGdE86yfoQQtwohtgohtp45cyZDm0hERESULKgrIyqjyMXmZkRUWAKaOmgwdTQTIc6eXoZPXjoPgJ0hMZSTrd2YN7kIANDQHnHKKHLvGDq5JIBTrT14elc9ntndgM6EBsNt3TGUBDRsXFyd9DV+n4qjTd345lN7vWkWR5u6cPvvd+Dj97+K7cdaAQAnWgYuz8hVow42CCF0ANcC+K2z6EcA5sIusagD8K3hPqeU8idSytVSytVVVVWj3UQiIiKilEI+bWTBhhxMASaiwhLwKYMGAqLxkWc2AL0NctOZtHC6I4oF1UXwqQLNXXEnOyz3jqFzJoXRHjFw6y+34YP3bcW9Lxz2HmvriaccI+p3GnX+4M8H8MuX7EKAP2w/hQe2HEN31MCd71iGeZOLkgIX+SITmQ1XAXhVStkAAFLKBimlKaW0APwUvaUSJwEkDrGudZYRERERZUVAV9E9gjKKXE0BJqLCEfCp2HyoCRu//VcccMZcJooaJvyjOI65x8B0MhvOtEcxuTiA8pCOps4oYmZuHkNvOX82nvjUhXj0kxcgpKtoSZjI0doTTzlGNPHndEctn2rtQVWxH3+//TK8Z+0MhP0aOqP518owE3v4PUgooRBC1CQ89nYAO52P/wjg3UIIvxBiNoD5ALZk4PsTERERjUjIpyIy0jKKHEwBJqLC8cEL5+CaZTU40dKDm+5+Ge/92WZsOdzsPR6NW6M6jrlfGzUGPobGDAs7T7ahI2qgqtiPirCOeqfnQS5mNqiKwKKaEiydVopQn54/bT1xlAb7BxsSs0e6Yk6woa0HUxNGjhb5VS8QkU9GNQxaCBEGsBHAhxMWf10IsQKABHDEfUxKuUsI8RCA3QAMAB/nJAoiIiLKpqCu4nRH6mZfg4ka1qjuCBIRjbWNi6uxcXE11s4+hsd31uNv+87gxQMv4eGPnodVM8tHfRxTFAFdHbxU46uP7cZ9TulAbXkQZSEf6tqcYEOOjb7sy+75k9izIY5pCQEEV+KIz46Ige6Ygef3N+LqZVO85UV+DY0d7NmQRErZJaWslFK2JSx7n5RymZRyuZTyWillXcJjd0gp50opF0opnxjN9yYiIiIaraCuYufJdsSModOAEzGzgYhyxbvXzsB971+L33/sPADA7rp2WJZEzLSSLoRHwu9TBu3ZcLo9iqmlAfzsptW4amkNKsI6jjR2AcjNzIZEIV9vZkNX1MChxq6UmQ2JP2dX1MCDW+yZCXMmFXnL7TIKZjYQERER5Y2SgH0q9NiOU3j7ObVpf10kbsGf4yfKRFRYzplehoBPwZHGLkSdAOtoL/j9mjpoGUXEMFFZ5McGZ0LDO86pRUfEgF9TsG5O5ai+d7YFdBU9TlbH/S8fA4Ck0ghXeUIfh66oiVOtPQCA2zbM95YXMdhARERElF8+d9UiPLDlOOrbosP6umh85CPjiIiyQQiBWZVhPLWrHqc77GPeaDMbhpp4EelzrNywuNoLPOS6kE/1yig6InajyI9cPLffejesmYEF1cW476WjeO14K850RjGjIgRN7f29FPk1dEUNSCkhhBifH2Ac8F2SiIiIClZp0IeAT0FLd2xYX8fRl0SUi96yvAZx08KfXj8FAKMafQnYmRGDZjbk6IjLdAR11SujiJkSuqpAVfoHCnRNwblzKjGpSEdn1MCZjiiqiv1J64T9GgxLehkn+YLBBiIiIipoFSEdTZ3pBxtMSyJuSvZsIKKc84lL5+O5f73E+3w8MhtGG9CYqII+Fd3ONKO4aUEf4ndZFLBLJU53RFFVlBxsKAloCOm9z5cvWEZBREREBa08rKed2SClxNEmt7kZ79kQUe4J+3svAUebdRDQVDz35ml85qHXANiZEp/eOB+TiwMA7NGX+XqsDOq9o5NjhgWfOnj5Q3HAB9OSOHC6E+fNTe5X8b71s/C+9bPGalOzhsEGIiIiKmgVYR3NXYMHG1462IT7XjqC4y3d2HmyHYB9l4qIKBcFfXYJQCamUQDA4zvqUBbUUd8ewZpZ5XjHSrvhrt2zIX8zG9wyirhpwacO/rt8+znT0BMzYUnp/X7yHd8liYiIqKBVhHW8eKARq7+6CT/8p5U4N0WH9N9tO4EndtajyK/hlvNnYdm0UlyxZEqKZyMimvi+dO0SPLGzDstrS0f1PIrTzPDGc2figxfOwbo7n00qq4jkcWZDYtlDLI0yiuqSAD69ccF4bNqEwWADERERFbQPXDAb5SEdD75yDE/uqk8ZbGjrieOsKcV48raLsrCFRESZdf2a6bh+zfRRP09tuT3q8fx5k7ygwtGmLjyy/QR0VUV7TzxvezaEdA1Rw8Iftp9EzLCgD5HZUIgYbCAiIqKCtry2DMtry/BmfTvuffEI/mntDMyvLk5ap70njtKgb4BnICIqTF+5bilu27AA1SUBRJySgv/+26GkdfI1s+EfV03Dd57Zh9117Wk1iCxE/I0QERERwa6nBYC/H2zq91gbgw1ERP1oqoLqErsZpF9T4FRVYM6ksLdOvk7uqS0PoSKsoydmIm7KIXs2FCL+RoiIiIgAvM0JNjR1RrH7VDvuffEwbr5nC/bWdzDYQEQ0BCGE13CyqtgPVbEjD/naIBLobRKZzjSKQsQyCiIiIiLYI9v8moLvP3cA33/ugLf87NpStEcYbCAiGkrApyIStxD2aygP+dDYGcvbMgrALhHpiZtpNYgsRPyNEBERETlKnIDCjIoQ7r1lDWZVhrD1aAu6YyaDDUREQwg6WQxhv4aykA4A8OdzZoOuOmUUQ4++LET8jRARERE5igN20ufMyhD+YeFkrJxZ7vVwqCzyZ3PTiIgmPLdkIqyruPXCOVg6rQQrppdld6PGUNBnBxs4jSI1llEQEREROUoCdvZCZdi+I/fZK87CubMroCkKrlw6JZubRkQ04bk9G0K6lrHxmhNZwKeiI2JwGsUAGGwgIiIicriZDW4Ww5TSAG5YMyObm0RElDPczIYif/6WTiQK+lSc6YhyGsUAGGwgIiIicrhpsJVFepa3hIgod4X8hXGZGdLtaRQGgw0p8TdCRERE5JhfXQwAWDC5OMtbQkSUeywpAdg9GwqB2yCS0yhSK4yQExEREVEa/u3KhfjoxXNRGuLkCSKi4XKzw0J6YVxmBnx2ZoOqCOiqyPbmTDiF8VdARERElAYhBAMNREQj9L+uWIhH3ziFixZUZXtTxoU7jUJTBcsoUmCwgYiIiIiIiEZt3ZxKrJtTme3NGDdlIR8MS8KwJEqCDFT3xWADERERERER0TDduG4m5kwqggSwfm7hBFnSxWADERERERER0TCFdA0bFldnezMmLBaWEBEREREREVFGMdhARERERERERBnFYAMRERERERERZRSDDURERERERESUUQw2EBEREREREVFGMdhARERERERERBnFYAMRERERERERZRSDDURERERERESUUQw2EBEREREREVFGMdhARERERERERBnFYAMRERERERERZRSDDURERERERESUUQw2EBEREREREVFGMdhARERERERERBnFYAMRERERERERZRSDDURERERERESUUQw2EBEREREREVFGMdhARERERERERBnFYAMRERERERERZRSDDURERERERESUUUJKme1tGJQQ4gyAo9nejmGaBKAx2xtB4477vfBwnxce7vPCxP1eeLjPCw/3eWHifh+9mVLKqlQPTPhgQy4SQmyVUq7O9nbQ+OJ+Lzzc54WH+7wwcb8XHu7zwsN9Xpi438cWyyiIiIiIiIiIKKMYbCAiIiIiIiKijGKwYWz8JNsbQFnB/V54uM8LD/d5YeJ+Lzzc54WH+7wwcb+PIfZsICIiIiIiIqKMYmYDEREREREREWUUgw0ZJoS4UgixVwhxQAjxuWxvD2WGEGK6EOLPQojdQohdQohPOcu/KIQ4KYR4zfl3dcLX3O78HewVQlyRva2nkRJCHBFC7HD27VZnWYUQYpMQYr/zf7mzXAghvu/s8zeEECuzu/U0EkKIhQmv59eEEO1CiNv4Ws8vQoh7hBCnhRA7E5YN+7UthLjZWX+/EOLmbPwslJ4B9vk3hBBvOvv1ESFEmbN8lhCiJ+H1/uOEr1nlvC8ccP4uRBZ+HErTAPt92Mdznt/njgH2+W8S9vcRIcRrznK+1scYyygySAihAtgHYCOAEwBeAfAeKeXurG4YjZoQogZAjZTyVSFEMYBtAN4G4HoAnVLKb/ZZfzGABwCsBTAVwDMAFkgpzXHdcBoVIcQRAKullI0Jy74OoFlK+TXnhKNcSvlvzsnKJwFcDeBcAN+TUp6bje2mzHCO6Sdh789bwNd63hBCXASgE8B9UsqlzrJhvbaFEBUAtgJYDUDCfl9YJaVsycKPREMYYJ9fDuA5KaUhhPh/AODs81kAHnXX6/M8WwD8C4CXATwO4PtSyifG6cegYRpgv38RwzieOw/z/D5HpNrnfR7/FoA2KeWX+Vofe8xsyKy1AA5IKQ9JKWMAHgRwXZa3iTJASlknpXzV+bgDwB4A0wb5kusAPCiljEopDwM4APvvg3LfdQB+4Xz8C9hBJ3f5fdK2GUCZE6Si3HUZgINSyqODrMPXeg6SUv4NQHOfxcN9bV8BYJOUstkJMGwCcOWYbzyNSKp9LqV8WkppOJ9uBlA72HM4+71ESrlZ2nfr7kPv3wlNQAO81gcy0PGc5/c5ZLB97mQnXA87qDQgvtYzh8GGzJoG4HjC5ycw+AUp5SAnCnoO7EgnAHzCScG8x027Bf8W8oUE8LQQYpsQ4lZnWbWUss75uB5AtfMx93n+eTeST0j4Ws9vw31tc9/nl/cDSLxrOVsIsV0I8VchxIXOsmmw97OL+zx3Ded4ztd6/rgQQIOUcn/CMr7WxxCDDUTDIIQoAvAwgNuklO0AfgRgLoAVAOoAfCt7W0dj4AIp5UoAVwH4uJOa53Gi3axFy0NCCB3AtQB+6yzia72A8LVdWIQQnwdgAPi1s6gOwAwp5TkAPgPgfiFESba2jzKOx/PC9R4k30Tga32MMdiQWScBTE/4vNZZRnlACOGDHWj4tZTy9wAgpWyQUppSSgvAT9GbPs2/hTwgpTzp/H8awCOw92+DWx7h/H/aWZ37PL9cBeBVKWUDwNd6gRjua5v7Pg8IIf4ZwFsAvNcJMsFJo29yPt4G4CDs2v2TSC614D7PQSM4nvO1ngeEEBqAdwD4jbuMr/Wxx2BDZr0CYL4QYrZzV+zdAP6Y5W2iDHBqvO4GsEdK+e2E5Yk1+W8H4Ha+/SOAdwsh/EKI2QDmA9gyXttLoyeECDvNQCGECAO4HPb+/SMAt+v8zQD+x/n4jwBuErZ1sJsP1YFyVdLdD77WC8JwX9tPAbhcCFHupGFf7iyjHCGEuBLAZwFcK6XsTlhe5TSIhRBiDuzX9SFnv7cLIdY55wU3offvhHLECI7nPL/PDxsAvCml9Moj+Fofe1q2NyCfON2MPwH7ZEMFcI+UcleWN4sy43wA7wOwwx2XA+DfAbxHCLECdrrtEQAfBgAp5S4hxEMAdsNOzfw4u9PnnGoAjziTjjQA90spnxRCvALgISHEBwAchd1oCLA7FV8Nu6FUN+zpBZSDnODSRjivZ8fX+VrPH0KIBwBcAmCSEOIEgC8A+BqG8dqWUjYLIb4C+0IEAL4spUy3ER2NswH2+e0A/AA2Ocf6zVLKjwC4CMCXhRBxABaAjyTs248B+DmAIOweD+xOP4ENsN8vGe7xnOf3uSPVPpdS3o3+fZgAvtbHHEdfEhEREREREVFGsYyCiIiIiIiIiDKKwQYiIiIiIiIiyigGG4iIiIiIiIgooxhsICIiIiIiIqKMYrCBiIiIiIiIiDKKwQYiIiIiIiIiyigGG4iIiIiIiIgooxhsICIiIiIiIqKM+v+f6brVVDn7KAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1296x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# list_c=np.array(list_c)\n",
    "plt.figure(figsize=(18,9))\n",
    "plt.plot(list_c)\n",
    "# plt.plot(list_g)\n",
    "# plt.legend('gold',fontsize=20)\n",
    "# plt.plot(list_b)\n",
    "# plt.legend('bit',fontsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1c1f6da9fa0>]"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,6))\n",
    "plt.plot(list_g)"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "b5fc3e43e814ad01a3162358639356c8d5269fa9e7a0a06af2b9cdf0ba130cad"
  },
  "kernelspec": {
   "display_name": "Python 3.8.8 64-bit",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
